This allows the stats to be written to disk as JSON and analyzed.
- Add dataclasses to hold stats.
- Move stats pretty-print logic to `__str__` of the new `InvocationStatsSummary` class.
- Add `get_stats` and `dump_stats` methods to `InvocationStatsServiceBase`.
- `InvocationStatsService` now throws if stats are requested for a session it doesn't know about. This avoids needing to do a lot of messy null checks.
- Update `DefaultInvocationProcessor` to use the new stats methods and suppresses the new errors.
* redo top panel of workflow editor
* add checkbox option to save to project, integrate save-as flow into first time saving workflow
* remove log
* remove workflowLibrary as a feature that can be disabled
* lint
* feat(ui): make SaveWorkflowAsDialog a singleton
Fixes an issue where the workflow name would erroneously be an empty string (which it should show the current workflow name).
Also makes it easier to interact with this component.
- Extract the dialog state to a hook
- Render the dialog once in `<NodeEditor />`
- Use the hook in the various buttons that should open the dialog
- Fix a few wonkily named components (pre-existing issue)
* fix(ui): when saving a never-before-saved workflow, do not append " (copy)" to the name
* fix(ui): do not obscure workflow library button with add node popover
This component is kinda janky :/ the popover content somehow renders invisibly over the button. I think it's related to the `<PopoverAnchor />.
Need to redo this in the future, but for now, making the popover render lazily fixes this.
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Adds adds ctrl/meta + scroll to change brush size on canvas.
* changed hotkeys
* new hotkey as an additional
* lint fixed"
* added ctrl scroll and removed hotkey
* using
* added fix
* feedbck_changes
* brush size change logic
* feat(ui): also check for meta key when modifying brush size
* feat(ui): add comment linking to where brush size algo was determined
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Currently translated at 10.5% (151 of 1426 strings)
translationBot(ui): update translation (Turkish)
Currently translated at 8.1% (116 of 1426 strings)
translationBot(ui): update translation (Turkish)
Currently translated at 6.6% (95 of 1426 strings)
Co-authored-by: Ufuk Sarp Selçok <ilkel@live.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/tr/
Translation: InvokeAI/Web UI
It doesn't work now that the theme is external. I'm not sure how to fix it and not sure if it really did much (I don't think I ever got autocomplete...). Maybe it can be implemented in `@invoke-ai/ui-library`.
* dont show duplicate toasts if workflow actions fail due to auth
* dynamic order by options based on projectId
* add endpointName to authtoast to makeit unique per endpoint
* lint
* update toast logic to check based on endpoint name w type safety
* fix save as endpoit name
* lint
* fix type
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
* retain id through workflow state so that we correctly update or save new
* lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
* feat: ✨ "Remix Image" option on images
Adds a new "remix image" option where applicable, recalls all metadata except the seed
* refactor: 🚨 lint code
* feat: ✨ "Remix Image" option on images
Adds a new "remix image" option where applicable, recalls all metadata except the seed
* refactor: 🚨 lint code
* feat: ✨ add new remix hotkey to hotkeys modal
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Currently translated at 60.0% (850 of 1415 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Remove `trim()` from model identifier schema, which prevented parsed model identifiers from matching.
The root issue here is that model names are identifiers. This will be resolved in the model manager refactor.
Closes#5556
- Bump `@invoke-ai/ui` for updated styles
- Update regex to parse prompts with newlines
- Update styling of overlay button when prompt has an error
- Fix bug where loading and error state sometimes weren't cleared
We had a one-behind issue with recalling metadata items that had a model.
For example, when recalling LoRAs, we check against the current main model to decide whether or not the requested LoRA is compatible and may be recalled.
When recalling all params, we are often also recalling the main model, but the compat logic didn't compare against this new main model.
The logic is updated to check against the new main model, if one is being set.
Closes#5512
The Ideal Size node is useful for High-Res Optimization as it gives the optimum size for creating an initial generation with minimal artifacts (duplication and other strangeness) from today's models.
After inclusion, front end graph generation can be simplified by offloading calculations for HRO initial generation to this node.
The previous method wasn't totally foolproof, and locales/assets were cached.
To solve this once and for all (famous last words, I know), we can subclass `StaticFiles` and use maximally strict no-caching headers to disable caching on all static files.
Currently translated at 97.3% (1365 of 1402 strings)
translationBot(ui): update translation (Italian)
Currently translated at 97.3% (1365 of 1402 strings)
translationBot(ui): update translation (Italian)
Currently translated at 97.3% (1365 of 1402 strings)
translationBot(ui): update translation (Italian)
Currently translated at 97.3% (1365 of 1402 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
* resolved conflicts
* changed logo and some design changes
* feedback changes
* resolved conflicts
* changed logo and some design changes
* feedback changes
* lint fixed
* added translations
* some requested changes done
* all feedback changes done and replace links in settingsmenu comp
* fixed the gap between deps verisons & chnaged heights
* feat(ui): minor about modal styling
* feat(ui): tag app endpoints with FetchOnReconnect
* fix(ui): remove unused translation string
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Use each language's own language for their option in the language select. This falls back to the english translation if the language name isn't translated.
* add basic functionality for model metadata fetching from hf and civitai
* add storage
* start unit tests
* add unit tests and documentation
* add missing dependency for pytests
* remove redundant fetch; add modified/published dates; updated docs
* add code to select diffusers files based on the variant type
* implement Civitai installs
* make huggingface parallel downloading work
* add unit tests for model installation manager
- Fixed race condition on selection of download destination path
- Add fixtures common to several model_manager_2 unit tests
- Added dummy model files for testing diffusers and safetensors downloading/probing
- Refactored code for selecting proper variant from list of huggingface repo files
- Regrouped ordering of methods in model_install_default.py
* improve Civitai model downloading
- Provide a better error message when Civitai requires an access token (doesn't give a 403 forbidden, but redirects
to the HTML of an authorization page -- arrgh)
- Handle case of Civitai providing a primary download link plus additional links for VAEs, config files, etc
* add routes for retrieving metadata and tags
* code tidying and documentation
* fix ruff errors
* add file needed to maintain test root diretory in repo for unit tests
* fix self->cls in classmethod
* add pydantic plugin for mypy
* use TestSession instead of requests.Session to prevent any internet activity
improve logging
fix error message formatting
fix logging again
fix forward vs reverse slash issue in Windows install tests
* Several fixes of problems detected during PR review:
- Implement cancel_model_install_job and get_model_install_job routes
to allow for better control of model download and install.
- Fix thread deadlock that occurred after cancelling an install.
- Remove unneeded pytest_plugins section from tests/conftest.py
- Remove unused _in_terminal_state() from model_install_default.
- Remove outdated documentation from several spots.
- Add workaround for Civitai API results which don't return correct
URL for the default model.
* fix docs and tests to match get_job_by_source() rather than get_job()
* Update invokeai/backend/model_manager/metadata/fetch/huggingface.py
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
* Call CivitaiMetadata.model_validate_json() directly
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
* Second round of revisions suggested by @ryanjdick:
- Fix type mismatch in `list_all_metadata()` route.
- Do not have a default value for the model install job id
- Remove static class variable declarations from non Pydantic classes
- Change `id` field to `model_id` for the sqlite3 `model_tags` table.
- Changed AFTER DELETE triggers to ON DELETE CASCADE for the metadata and tags tables.
- Made the `id` field of the `model_metadata` table into a primary key to achieve uniqueness.
* Code cleanup suggested in PR review:
- Narrowed the declaration of the `parts` attribute of the download progress event
- Removed auto-conversion of str to Url in Url-containing sources
- Fixed handling of `InvalidModelConfigException`
- Made unknown sources raise `NotImplementedError` rather than `Exception`
- Improved status reporting on cached HuggingFace access tokens
* Multiple fixes:
- `job.total_size` returns a valid size for locally installed models
- new route `list_models` returns a paged summary of model, name,
description, tags and other essential info
- fix a few type errors
* consolidated all invokeai root pytest fixtures into a single location
* Update invokeai/backend/model_manager/metadata/metadata_store.py
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* Small tweaks in response to review comments:
- Remove flake8 configuration from pyproject.toml
- Use `id` rather than `modelId` for huggingface `ModelInfo` object
- Use `last_modified` rather than `LastModified` for huggingface `ModelInfo` object
- Add `sha256` field to file metadata downloaded from huggingface
- Add `Invoker` argument to the model installer `start()` and `stop()` routines
(but made it optional in order to facilitate use of the service outside the API)
- Removed redundant `PRAGMA foreign_keys` from metadata store initialization code.
* Additional tweaks and minor bug fixes
- Fix calculation of aggregate diffusers model size to only count the
size of files, not files + directories (which gives different unit test
results on different filesystems).
- Refactor _get_metadata() and _get_download_urls() to have distinct code paths
for Civitai, HuggingFace and URL sources.
- Forward the `inplace` flag from the source to the job and added unit test for this.
- Attach cached model metadata to the job rather than to the model install service.
* fix unit test that was breaking on windows due to CR/LF changing size of test json files
* fix ruff formatting
* a few last minor fixes before merging:
- Turn job `error` and `error_type` into properties derived from the exception.
- Add TODO comment about the reason for handling temporary directory destruction
manually rather than using tempfile.tmpdir().
* add unit tests for reporting HTTP download errors
---------
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Per user feedback, this is preferrable to letting them expand when the window grows.
Also bumps `react-resizable-panels` now that one of my PRs is merged to fix an issue.
* feat: allow bfloat16 to be configurable in invoke.yaml
* fix: `torch_dtype()` util
- Use `choose_precision` to get the precision string
- Do not reference deprecated `config.full_precision` flat (why does this still exist?), if a user had this enabled it would override their actual precision setting and potentially cause a lot of confusion.
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
- Add various brand images, organise images
- Create favicon for docs pages (light blue version of key logo)
- Rename app title to `Invoke - Community Edition`
Add `FetchOnReconnect` tag, tagging relevant queries with it. This tag is invalidated in the socketConnected listener, when it is determined that the queue changed.
- Add checks to the "recovery" logic for socket connect events to reduce the number of network requests.
- Remove the `isInitialized` state from `systemSlice` and make it a nanostore local to the socketConnected listener. It didn't need to be global state. It's also now more clearly named `isFirstConnection`.
- Export the queue status selector (minor improvement, memoizes it correctly).
- Fixed a bug where after you load more, changing boards doesn't work. The offset and limit for the list image query had some wonky logic, now resolved.
- Addressed major lag in gallery when selecting an image.
Both issues were related to the useMultiselect and useGalleryImages hooks, which caused every image in the gallery to re-render on whenever the selection changed. There's no way to memoize away this - we need to know when the selection changes. This is a longstanding issue.
The selection is only used in a callback, though - the onClick handler for an image to select it (or add it to the existing selection). We don't really need the reactivity for a callback, so we don't need to listen for changes to the selection.
The logic to handle multiple selection is moved to a new `galleryImageClicked` listener, which does all the selection right when it is needed.
The result is that gallery images no long need to do heavy re-renders on any selection change.
Besides the multiselect click handler, there was also inefficient use of DND payloads. Previously, the `IMAGE_DTOS` type had a payload of image DTO objects. This was only used to drag gallery selection into a board. There is no need to hold onto image DTOs when we have the selection state already in redux. We were recalculating this payload for every image, on every tick.
This payload is now just the board id (the only piece of information we need for this particular DND event).
- I also removed some unused DND types while making this change.
There was a lot of convoluted, janky logic related to trying to not mount the context menu's portal until its needed. This was in the library where the component was originally copied from.
I've removed that and resolved the jank, at the cost of there being an extra portal for each instance of the context menu. Don't think this is going to be an issue. If it is, the whole context menu could be refactored to be a singleton.
* ci: add docker build timout; log free space on runner before and after build
* docker: bump frontend builder to node=20.x; skip linting on build
* chore: gitignore .pnpm-store
* update code owners for docker and CI
---------
Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
I was troubleshooting a hotkeys issue on canvas and thought I had broken the tool logic in a past change so I redid it moving it to nanostores. In the end, the issue was an upstream but with the hotkeys library, but I like having tool in nanostores so I'm leaving it.
It's ephemeral interaction state anyways, doesn't need to be in redux.
There's a challenge to accomplish this due to our slice structure - the model is stored in `generationSlice`, but `canvasSlice` also needs to have awareness of it. For example, when the model changes, the canvas slice doesn't know what the previous model was, so it doesn't know whether or not to optimize the size.
This means we need to lift the "should we optimize size" information up. To do this, the `modelChanged` action creator accepts the previous model as an optional second arg.
Now the canvas has access to both the previous model and new model selection, and can decide whether or not it should optimize its size setting in the same way that the generation slice does.
Closes #5452
For some reason `ReturnType<typeof useListImagesQuery>` isn't working correctly, and destructuring `queryResult` it results in `any`, when the hook is used.
I've removed the explicit return typing so that consumers of the hook get correct types.
Workflow building would fail when a current image node was in the workflow due to the strict validation.
So we need to use the other workflow builder util first, which strips out extraneous data.
This bug was introduced during an attempt to optimize the workflow building logic, which was causing slowdowns on the workflow editor.
* do not show toast if 403 is triggered by lack of image access
* remove log
* lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
* feat(ui): get rid of convoluted socket vs appSocket redux actions
There's no need to have `socket...` and `appSocket...` actions.
I did this initially due to a misunderstanding about the sequence of handling from middleware to reducers.
* feat(ui): bump deps
Mainly bumping to get latest `redux-remember`.
A change to socket.io required a change to the types in `useSocketIO`.
* chore(ui): format
* feat(ui): add error handling to redux persistence layer
- Add an error handler to `redux-remember` config using our logger
- Add custom errors representing storage set and get failures
- Update storage driver to raise these accordingly
- wrap method to clear idbkeyval storage and tidy its logic up
* feat(ui): add debuggingLoggerMiddleware
This simply logs every action and a diff of the state change.
Due to the noise this creates, it's not added by default at all. Add it to the middlewares if you want to use it.
* feat(ui): add $socket to window if in dev mode
* fix(ui): do not enable cancel hotkeys on inputs
* fix(ui): use JSON.stringify for ROARR logger serializer
A recent change to ROARR introduced limits to the size of data that will logged. This ends up making our logs far less useful. Change the serializer back to what it was previously.
* feat(ui): change diff util, update debuggerLoggerMiddleware
The previous diff library would present deleted things as `undefined`. Unfortunately, a JSON.stringify cycle will strip those values out. The ROARR logger does this and so the diffs end up being a lot less useful, not showing removed keys.
The new diff library uses a different format for the delta that serializes nicely.
* feat(ui): add migrations to redux persistence layer
- All persisted slices must now have a slice config, consisting of their initial state and a migrate callback. The migrate callback is very simple for now, with no type safety. It adds missing properties to the state. A future enhancement might be to model the each slice's state with e.g. zod and have proper validation and types.
- Persisted slices now have a `_version` property
- The migrate callback is called inside `redux-remember`'s `unserialize` handler. I couldn't figure out a good way to put this into the reducer and do logging (reducers should have no side effects). Also I ran into a weird race condition that I couldn't figure out. And finally, the typings are tricky. This works for now.
- `generationSlice` and `canvasSlice` both need migrations for the new aspect ratio setup, this has been added
- Stuff related to persistence has been moved in to `store.ts` for simplicity
* feat(ui): clean up StorageError class
* fix(ui): scale method default is now 'auto'
* feat(ui): when changing controlnet model, enable autoconfig
* fix(ui): make embedding popover immediately accessible
Prevents hotkeys from being captured when embeddings are still loading.
The new select component appears to close itself before calling the onchange handler. This short-circuits the autoconnect logic. Tweaked so the ordering is correct.
Centralize the initial/min/max/etc values for all numerical params. We used this for some but at some point stopped updating it.
All numerical params now use their respective configs. Far fewer hardcoded values throughout the app now.
Also updated the config types a bit to better accommodate slider vs number input constraints.
- Use the virtuoso grid item container and list containers to calculate imagesPerRow, skipping manual compensation for padding of images
- Round the imagesPerRow instead of flooring - we often will end up with values like 4.99999 due to floating point precision
- Update `getDownImage` comments & logic to be clearer
- Use variables for the ids in query selectors, preventing future typos
- Only scroll if the new selected image is different from the prev one
- Fix preexisting bug where gallery network requests were duplicated when triggering infinite scroll
- Refactor `useNextPrevImage` to not use `state => state` as an input selector - logic split up into different hooks
- Remove use instant scroll for arrow key navigation - smooth scroll is janky when you hold the arrow down and it fires rapidly
- Move gallery nav hotkeys to GalleryImageGrid component, so they work whenever the gallery is open (previously didn't work on canvas or workflow editor tabs)
- Use nanostores for gallery grid refs instead of passing context with virtuoso's context feature, making it much simpler to do the imperative gallery nav
- General gallery hook/component cleanup
Pending resolution of https://github.com/reduxjs/reselect/issues/635, we can patch `reselect` to use `lruMemoize` exclusively.
Pin RTK and react-redux versions too just to be safe.
This reduces the major GC events that were causing lag/stutters in the app, particularly in canvas and workflow editor.
A bug that caused panels to be collapsed on a fresh indexedDb in was fixed in dd32c632cd, but this re-introduced a different bug that caused the panels to expand on window resize, if they were already collapsed.
Revert the previous change and instead add one imperative resize outside the observer, so that on startup, we set both panels to their minimum sizes.
* replace custom header with custom nav component to go below settings
* add option for custom gallery header
* add option for custom app info text on logo hover
* add data-testid for tabs
* remove descriptions
* lint
* lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
We are now using the lefthand vertical strip for the settings menu button. This is a good place for the status indicator.
Really, we only need to display something *if there is a problem*. If the app is processing, the progress bar indicates that.
For the case where the panels are collapsed, I'll add the floating buttons back in some form, and we'll indicate via those if the app is processing something.
just make it like a normal button - normal and hover state, no difference when its expanded. the icon clearly indicates this, and you see the extra components
On one hand I like the color but on the other it makes this divider a focus point, which doesn't really makes sense to me. I tried several shades but think it adds a bit too much distraction for your eyes.
There was an extra div, needed for the fullscreen file upload dropzone, that made styling the main app containers a bit awkward.
Refactor the uploader a bit to simplify this - no longer need so many app-level wrappers. Much cleaner.
Removed logic related to aspect ratio from the components.
When the main bbox changes, if the scale method is auto, the reducers will handle the scaled bbox size appropriately.
Somehow linking up the manual mode to the aspect ratio is tricky, and instead of adding complexity for a rarely-used mode, I'm leaving manual mode as fully manual.
Cannot figure out how to allow the bbox to be transformed when aspect ratio is locked from all handles. Only the bottom right handle works as expected.
As a workaround, when the aspect ratio is locked, you can only resize the bbox from the bottom right handle.
- Do not _merge_ prompt and style prompt when concat is enabled - either use the prompt as style, or use the style directly.
- Set style prompt metadata correctly.
- Add metadata recall for style prompt.
`react-select` has some weird behaviour where if the value is `undefined`, it shows the last-selected value instead of nothing. Must fall back to `null`
Ensure workflow editor model selector component gets a value
This introduced some funky type issues related to ONNX models. ONNX doesn't work anyways (unmaintained). Instead of fixing the types to work with a non-working feature, ONNX is now removed entirely from the UI.
- Remove all refs to ONNX (and Olives)
- Fix some type issues
- Add ONNX nodes to the nodes denylist (so they are not visible in UI)
- Update VAE graph helper, which still had some ONNX logic. It's a very simple change and doesn't change any logic. Just removes some conditions that were for ONNX. I tested it and nothing broke.
- Regenerate types
- Fix prettier and eslint ignores for generated types
- Lint
* Udpater suggest db backup when installing RC
* Update invokeai_update.py to be more specific
* Update invokeai_update.py
* Update invokeai_update.py
* Update invokeai_update.py
* Update invokeai_update.py
- Prompt must have an open curly brace followed by a close curly brace to enable dynamic prompts processing
- If a the given prompt already had a dynamic prompt cached, do not re-process
- If processing is not needed, user may invoke immediately
- Invoke button shows loading state when dynamic prompts are processing, tooltip says generating
- Dynamic prompts preview icon in prompt box shows loading state when processing, tooltip says generating
- Support grid size of 8 on canvas
- Internal canvas math works on 8
- Update gridlines rendering to show 64 spaced lines and 32/16/8 when zoomed in
- Bbox manipulation defaults to grid of 64 - hold shift to get grid of 8
Besides being something we support internally, supporting 8 on canvas avoids a lot of hacky logic needed to work well with aspect ratios.
Canvas and non-canvas have separate width and height and need their own separate aspect ratios. In order to not duplicate a lot of aspect ratio logic, the components relating to image size have been modularized.
- Fix `weight` and `begin_step_percent`, the constraints were mixed up
- Add model validatort to ensure `begin_step_percent < end_step_percent`
- Bump version
- Store workflow in nanostore as singleton instead of building for each consumer
- Debounce the build (already was indirectly debounced)
- When the workflow is needed, imperatively grab it from the nanostores, instead of letting react handle it via reactivity
This drastically reduces the computation needed when moving the cursor. It also correctly separates ephemeral interaction state from redux, where it is not needed.
Also removed some unused canvas state.
This uses the previous implementation of the memoization function in reselect. It's possible for the new weakmap-based memoization to cause memory leaks in certain scenarios, so we will avoid it for now.
If the user specifies `torch-sdp` as the attention type in `config.yaml`, we can go ahead and use it (if available) rather than always throwing an exception.
* add base definition of download manager
* basic functionality working
* add unit tests for download queue
* add documentation and FastAPI route
* fix docs
* add missing test dependency; fix import ordering
* fix file path length checking on windows
* fix ruff check error
* move release() into the __del__ method
* disable testing of stderr messages due to issues with pytest capsys fixture
* fix unsorted imports
* harmonized implementation of start() and stop() calls in download and & install modules
* Update invokeai/app/services/download/download_base.py
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
* replace test datadir fixture with tmp_path
* replace DownloadJobBase->DownloadJob in download manager documentation
* make source and dest arguments to download_queue.download() an AnyHttpURL and Path respectively
* fix pydantic typecheck errors in the download unit test
* ruff formatting
* add "job cancelled" as an event rather than an exception
* fix ruff errors
* Update invokeai/app/services/download/download_default.py
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* use threading.Event to stop service worker threads; handle unfinished job edge cases
* remove dangling STOP job definition
* fix ruff complaint
* fix ruff check again
* avoid race condition when start() and stop() are called simultaneously from different threads
* avoid race condition in stop() when a job becomes active while shutting down
---------
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
The graph library occasionally causes issues when the default graph changes substantially between versions and pydantic validation fails. See #5289 for an example.
We are not currently using the graph library, so we can disable it until we are ready to use it. It's possible that the workflow library will supersede it anyways.
* remove MacOS Sonoma check in devices.py
As of pytorch 2.1.0, float16 works with our MPS fixes on Sonoma, so the check is no longer needed.
* remove unused platform import
* add code to repopulate model config records after schema update
* reformat for ruff
* migrate model records using db cursor rather than the ModelRecordConfigService
* ruff fixes
* tweak exception reporting
* fix: build frontend in pypi-release workflow
This was missing, resulting in the 3.5.0rc1 having no frontend.
* fix: use node 18, set working directory
- Node 20 has a problem with `pnpm`; set it to Node 18
- Set the working directory for the frontend commands
* Don't copy extraneous paths into installer .zip
* feat(installer): delete frontend build after creating installer
This prevents an empty `dist/` from breaking the app on startup.
* feat: add python dist as release artifact, as input to enable publish to pypi
- The release workflow never runs automatically. It must be manually kicked off.
- The release workflow has an input. When running it from the GH actions UI, you will see a "Publish build on PyPi" prompt. If this value is "true", the workflow will upload the build to PyPi, releasing it. If this is anything else (e.g. "false", the default), the workflow will build but not upload to PyPi.
- The `dist/` folder (where the python package is built) is uploaded as a workflow artifact as a zip file. This can be downloaded and inspected. This allows "dry" runs of the workflow.
- The workflow job and some steps have been renamed to clarify what they do
* translationBot(ui): update translation files
Updated by "Cleanup translation files" hook in Weblate.
Co-authored-by: Hosted Weblate <hosted@weblate.org>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/
Translation: InvokeAI/Web UI
* freeze yaml migration logic at upgrade to 3.5
* moved migration code to migration_3
---------
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Hosted Weblate <hosted@weblate.org>
The VAE decode on linear graphs was getting cached. This caused some unexpected behaviour around image outputs.
For example, say you ran the exact same graph twice. The first time, you get an image written to disk and added to gallery. The second time, the VAE decode is cached and no image file is created. But, the UI still gets the graph complete event and selects the first image in the gallery. The second run does not add an image to the gallery.
There are probbably edge cases related to this - the UI does not expect this to happen. I'm not sure how to handle it any better in the UI.
The solution is to not cache VAE decode on the linear graphs, ever. If you run a graph twice in linear, you expect two images.
This simple change disables the node cache for terminal VAE decode nodes in all linear graphs, ensuring you always get images. If they graph was fully cached, all images after the first will be created very quickly of course.
- "Reset Workflow Editor" -> "New Workflow"
- "New Workflow" gets nodes icon & is no longer danger coloured
- When creating a new workflow, if the current workflow has unsaved changes, you get a dialog asking for confirmation. If the current workflow is saved, it immediately creates a new workflow.
- "Download Workflow" -> "Save to File"
- "Upload Workflow" -> "Load from File"
- Moved "Load from File" up 1 in the menu
This model was a bit too strict, and raised validation errors when workflows we expect to *not* have an ID (eg, an embedded workflow) have one.
Now it strips unknown attributes, allowing those workflows to load.
- Handle an image file not existing despite being in the database.
- Add a simple pydantic model that tests only for the existence of a workflow's version.
- Check against this new model when migrating workflows, skipping if the workflow fails validation. If it succeeds, the frontend should be able to handle the workflow.
Currently translated at 98.1% (1340 of 1365 strings)
translationBot(ui): update translation (Russian)
Currently translated at 84.2% (1150 of 1365 strings)
translationBot(ui): update translation (Russian)
Currently translated at 83.1% (1135 of 1365 strings)
Co-authored-by: Васянатор <ilabulanov339@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
- use simpler pattern for migration dependencies
- move SqliteDatabase & migration to utility method `init_db`, use this in both the app and tests, ensuring the same db schema is used in both
This fixes a problem with `Annotated` which prevented us from using pydantic's `Field` to specify a discriminator for a union. We had to use FastAPI's `Body` as a workaround.
* selector added
* ref and useeffect added
* scrolling done using useeffect
* fixed scroll and changed the ref name
* fixed scroll again
* created hook for scroll logic
* feat(ui): debounce metadata fetch by 300ms
This vastly reduces the network requests when using the arrow keys to quickly skim through images.
* feat(ui): extract logic to determine virtuoso scrollToIndex align
This needs to be used in `useNextPrevImage()` to ensure the scrolling puts the image at the top or bottom appropriately
* feat(ui): add debounce to image workflow hook
This was spamming network requests like the metadata query
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Invocations now have a classification:
- Stable: LTS
- Beta: LTS planned, API may change
- Prototype: No LTS planned, API may change, may be removed entirely
The `@invocation` decorator has a new arg `classification`, and an enum `Classification` is added to `baseinvocation.py`.
The default is Stable; this is a non-breaking change.
The classification is presented in the node header as a hammer icon (Beta) or flask icon (prototype).
The icon has a tooltip briefly describing the classification.
Simplifies a couple things:
- Init is more straightforward
- It's clear in the migrator that the connection we are working with is related to the SqliteDatabase
- Simplify init args to path (None means use memory), logger, and verbose
- Add docstrings to SqliteDatabase (it had almost none)
- Update all usages of the class
- min_overlap removed * restrictions and round_to_8
- min_overlap handles tile size > image size by clipping the num tiles to 1.
- Updated assert test on min_overlap.
In other words, build frontend when creating installer.
Changes to `create_installer.sh`
- If `python` is not in `PATH` but `python3` is, alias them (well, via function). This is needed on some machines to run the installer without symlinking to `python3`.
- Make the messages about pushing tags clearer. The script force-pushes, so it's possible to accidentally take destructive action. I'm not sure how to otherwise prevent damage, so I just added a warning.
- Print out `pwd` when prompting about being in the `installer` dir.
- Rebuild the frontend - if there is already a frontend build, first checks if the user wants to rebuild it.
- Checks for existence of `../build` dir before deleting - if the dir doesn't exist, the script errors and exits at this point.
- Format and spell check.
Other changes:
- Ignore `dist/` folder.
- Delete `dist/`.
**Note: you may need to use `git rm --cached invokeai/app/frontend/web/dist/` if git still wants to track `dist/`.**
Calling `inspect.getmembers()` on a pydantic field results in `getattr` being called on all members of the field. Pydantic has some attrs that are marked deprecated.
In our test suite, we do not filter deprecation warnings, so this is surfaced.
Use a context manager to ignore deprecation warnings when calling the function.
In the latest redux, unknown actions are typed as `unknown`. This forces type-safety upon us, requiring us to be more careful about the shape of actions.
In this case, we don't know if the rejection has a payload or what shape it may be in, so we need to do runtime checks. This is implemented with a simple zod schema, but probably the right way to handle this is to have consistent types in our RTK-Query error logic.
There are a few breaking changes, which I've addressed.
The vast majority of changes are related to new handling of `reselect`'s `createSelector` options.
For better or worse, we memoize just about all our selectors using lodash `isEqual` for `resultEqualityCheck`. The upgrade requires we explicitly set the `memoize` option to `lruMemoize` to continue using lodash here.
Doing that required changing our `defaultSelectorOptions`.
Instead of changing that and finding dozens of instances where we weren't using that and instead were defining selector options manually, I've created a pre-configured selector: `createMemoizedSelector`.
This is now used everywhere instead of `createSelector`.
- update all scripts
- update the frontend GH action
- remove yarn-related files
- update ignores
Yarn classic + storybook has some weird module resolution issue due to how it hoists dependencies.
See https://github.com/storybookjs/storybook/issues/22431#issuecomment-1630086092
When I did the `package.json` solution in this thread, it broke vite. Next option is to upgrade to yarn 3 or pnpm. I chose pnpm.
Using default_factory to autogenerate UUIDs doesn't make sense here, and results awkward typescript types.
Remove the default factory and instead manually create a UUID for workflow id. There are only two places where this needs to happen so it's not a big change.
This addresses an edge case where:
1. the workflow references fields that are present on the workflow's nodes, but not on the invocation templates for those nodes and
2. The invocation template for that type does exist
This should be a fairly obscure edge case, but could happen if a user fiddled around with the workflow manually.
I ran into it as a result of two nodes having accidentally mixed up their invocation types, a problem introduced with a wonky merge commit.
This logic is moved into a hook.
This is needed for our context menus to close when the user clicks something in reactflow. It needed to be extended to support menus also.
Disabling these introduces an issue where, if you were on an image with a workflow/metadata, then switch to one without, you can end up on a disabled tab. This could potentially cause a runtime error.
* chore: bump pydantic to 2.5.2
This release fixespydantic/pydantic#8175 and allows us to use `JsonValue`
* fix(ui): exclude public/en.json from prettier config
* fix(workflow_records): fix SQLite workflow insertion to ignore duplicates
* feat(backend): update workflows handling
Update workflows handling for Workflow Library.
**Updated Workflow Storage**
"Embedded Workflows" are workflows associated with images, and are now only stored in the image files. "Library Workflows" are not associated with images, and are stored only in DB.
This works out nicely. We have always saved workflows to files, but recently began saving them to the DB in addition to in image files. When that happened, we stopped reading workflows from files, so all the workflows that only existed in images were inaccessible. With this change, access to those workflows is restored, and no workflows are lost.
**Updated Workflow Handling in Nodes**
Prior to this change, workflows were embedded in images by passing the whole workflow JSON to a special workflow field on a node. In the node's `invoke()` function, the node was able to access this workflow and save it with the image. This (inaccurately) models workflows as a property of an image and is rather awkward technically.
A workflow is now a property of a batch/session queue item. It is available in the InvocationContext and therefore available to all nodes during `invoke()`.
**Database Migrations**
Added a `SQLiteMigrator` class to handle database migrations. Migrations were needed to accomodate the DB-related changes in this PR. See the code for details.
The `images`, `workflows` and `session_queue` tables required migrations for this PR, and are using the new migrator. Other tables/services are still creating tables themselves. A followup PR will adapt them to use the migrator.
**Other/Support Changes**
- Add a `has_workflow` column to `images` table to indicate that the image has an embedded workflow.
- Add handling for retrieving the workflow from an image in python. The image file must be fetched, the workflow extracted, and then sent to client, avoiding needing the browser to parse the image file. With the `has_workflow` column, the UI knows if there is a workflow to be fetched, and only fetches when the user requests to load the workflow.
- Add route to get the workflow from an image
- Add CRUD service/routes for the library workflows
- `workflow_images` table and services removed (no longer needed now that embedded workflows are not in the DB)
* feat(ui): updated workflow handling (WIP)
Clientside updates for the backend workflow changes.
Includes roughed-out workflow library UI.
* feat: revert SQLiteMigrator class
Will pursue this in a separate PR.
* feat(nodes): do not overwrite custom node module names
Use a different, simpler method to detect if a node is custom.
* feat(nodes): restore WithWorkflow as no-op class
This class is deprecated and no longer needed. Set its workflow attr value to None (meaning it is now a no-op), and issue a warning when an invocation subclasses it.
* fix(nodes): fix get_workflow from queue item dict func
* feat(backend): add WorkflowRecordListItemDTO
This is the id, name, description, created at and updated at workflow columns/attrs. Used to display lists of workflowsl
* chore(ui): typegen
* feat(ui): add workflow loading, deleting to workflow library UI
* feat(ui): workflow library pagination button styles
* wip
* feat: workflow library WIP
- Save to library
- Duplicate
- Filter/sort
- UI/queries
* feat: workflow library - system graphs - wip
* feat(backend): sync system workflows to db
* fix: merge conflicts
* feat: simplify default workflows
- Rename "system" -> "default"
- Simplify syncing logic
- Update UI to match
* feat(workflows): update default workflows
- Update TextToImage_SD15
- Add TextToImage_SDXL
- Add README
* feat(ui): refine workflow list UI
* fix(workflow_records): typo
* fix(tests): fix tests
* feat(ui): clean up workflow library hooks
* fix(db): fix mis-ordered db cleanup step
It was happening before pruning queue items - should happen afterwards, else you have to restart the app again to free disk space made available by the pruning.
* feat(ui): tweak reset workflow editor translations
* feat(ui): split out workflow redux state
The `nodes` slice is a rather complicated slice. Removing `workflow` makes it a bit more reasonable.
Also helps to flatten state out a bit.
* docs: update default workflows README
* fix: tidy up unused files, unrelated changes
* fix(backend): revert unrelated service organisational changes
* feat(backend): workflow_records.get_many arg "filter_text" -> "query"
* feat(ui): use custom hook in current image buttons
Already in use elsewhere, forgot to use it here.
* fix(ui): remove commented out property
* fix(ui): fix workflow loading
- Different handling for loading from library vs external
- Fix bug where only nodes and edges loaded
* fix(ui): fix save/save-as workflow naming
* fix(ui): fix circular dependency
* fix(db): fix bug with releasing without lock in db.clean()
* fix(db): remove extraneous lock
* chore: bump ruff
* fix(workflow_records): default `category` to `WorkflowCategory.User`
This allows old workflows to validate when reading them from the db or image files.
* hide workflow library buttons if feature is disabled
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
* add middleware to handle 403 errors
* remove log
* add logic to warn the user if not all requested images could be deleted
* lint
* fix copy
* feat(ui): simplify batchEnqueuedListener error toast logic
* feat(ui): use translations for error messages
* chore(ui): lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Currently translated at 62.9% (830 of 1319 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
* dont set socketURL until socket is initialized
* cleanup
* feat(ui): simplify `socketUrl` memo
no need to mutate the string; just return early if using baseUrl
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Adds logic to `DiskLatentsStorage.start()` to empty the latents folder on startup.
Adds start and stop methods to `ForwardCacheLatentsStorage`. This is required for `DiskLatentsStorage.start()` to be called, due to how this particular service breaks the direct DI pattern, wrapping the underlying storage with a cache.
IndexedDB has a much larger storage limit than LocalStorage, and is widely supported.
Implemented as a custom storage driver for `redux-remember` via `idb-keyval`. `idb-keyval` is a simple wrapper for IndexedDB that allows it to be used easily as a key-value store.
The logic to clear persisted storage has been updated throughout the app.
- Reset init image, control adapter images, and node image fields when their selected image fails to load
- Only do this if the app is connected via socket (this indicates that the image is "really" gone, and there isn't just a transient network issue)
It's possible for image parameters/nodes/states to have reference a deleted image. For example, a resize image node might have an image set on it, and the workflow saved. The workflow contains a hard reference to that image.
The image is deleted and the workflow loaded again later. The deleted image is still in that workflow, but the app doesn't detect that. The result is that the workflow/graph appears to be valid, but will fail on invoke.
This creates a really confusing user experience, where when somebody shares a workflow with an image baked into it, and another person opens it, everything *looks* ok, but the workflow fails with a mysterious error about a missing image.
The problem affects node images, control adapter images and the img2img init image. Resetting the image when it fails to load *and* socket is connected resolves this in a simple way.
The problem also affects canvas images, but we have handle that by displaying an error fallback image, so no change is made there.
Closes#5121
- Parse `anyOf` for enums (present when they are optional)
- Consolidate `FieldTypeParseError` and `UnsupportedFieldTypeError` into `FieldParseError` (there was no difference in handling and it simplifies things a bit)
* add centerpadcrop node
- Allows users to add padding to or crop images from the center
- Also outputs a white mask with the dimensions of the output image for use with outpainting
* add CenterPadCrop to NODES.md
Updates NODES.md with CenterPadCrop entry.
* remove mask & output class
- Remove "ImageMaskOutput" where both image and mask are output
- Remove ability to output mask from node
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Use UTF-8 encoding on reading prompts from files to allow Unicode characters to load correctly.
The following examples currently will not load correctly from a file:
Hello, 世界!
😭🤮💔
This new name more accurately represents that these are fields with a type of `T | T[]`, where the "base" type must be the same on both sides of the union.
Custom nodes have a new attribute `node_pack` indicating the node pack they came from.
- This is displayed in the UI in the icon icon tooltip.
- If a workflow is loaded and a node is unavailable, its node pack will be displayed (if it is known).
- If a workflow is migrated from v1 to v2, and the node is unknown, it falls back to "Unknown". If the missing node pack is installed and the node is updated, the node pack will be updated as expected.
Node authors may now create their own arbitrary/custom field types. Any pydantic model is supported.
Two notes:
1. Your field type's class name must be unique.
Suggest prefixing fields with something related to the node pack as a kind of namespace.
2. Custom field types function as connection-only fields.
For example, if your custom field has string attributes, you will not get a text input for that attribute when you give a node a field with your custom type.
This is the same behaviour as other complex fields that don't have custom UIs in the workflow editor - like, say, a string collection.
feat(ui): fix tooltips for custom types
We need to hold onto the original type of the field so they don't all just show up as "Unknown".
fix(ui): fix ts error with custom fields
feat(ui): custom field types connection validation
In the initial commit, a custom field's original type was added to the *field templates* only as `originalType`. Custom fields' `type` property was `"Custom"`*. This allowed for type safety throughout the UI logic.
*Actually, it was `"Unknown"`, but I changed it to custom for clarity.
Connection validation logic, however, uses the *field instance* of the node/field. Like the templates, *field instances* with custom types have their `type` set to `"Custom"`, but they didn't have an `originalType` property. As a result, all custom fields could be connected to all other custom fields.
To resolve this, we need to add `originalType` to the *field instances*, then switch the validation logic to use this instead of `type`.
This ended up needing a bit of fanagling:
- If we make `originalType` a required property on field instances, existing workflows will break during connection validation, because they won't have this property. We'd need a new layer of logic to migrate the workflows, adding the new `originalType` property.
While this layer is probably needed anyways, typing `originalType` as optional is much simpler. Workflow migration logic can come layer.
(Technically, we could remove all references to field types from the workflow files, and let the templates hold all this information. This feels like a significant change and I'm reluctant to do it now.)
- Because `originalType` is optional, anywhere we care about the type of a field, we need to use it over `type`. So there are a number of `field.originalType ?? field.type` expressions. This is a bit of a gotcha, we'll need to remember this in the future.
- We use `Array.prototype.includes()` often in the workflow editor, e.g. `COLLECTION_TYPES.includes(type)`. In these cases, the const array is of type `FieldType[]`, and `type` is is `FieldType`.
Because we now support custom types, the arg `type` is now widened from `FieldType` to `string`.
This causes a TS error. This behaviour is somewhat controversial (see https://github.com/microsoft/TypeScript/issues/14520). These expressions are now rewritten as `COLLECTION_TYPES.some((t) => t === type)` to satisfy TS. It's logically equivalent.
fix(ui): typo
feat(ui): add CustomCollection and CustomPolymorphic field types
feat(ui): add validation for CustomCollection & CustomPolymorphic types
- Update connection validation for custom types
- Use simple string parsing to determine if a field is a collection or polymorphic type.
- No longer need to keep a list of collection and polymorphic types.
- Added runtime checks in `baseinvocation.py` to ensure no fields are named in such a way that it could mess up the new parsing
chore(ui): remove errant console.log
fix(ui): rename 'nodes.currentConnectionFieldType' -> 'nodes.connectionStartFieldType'
This was confusingly named and kept tripping me up. Renamed to be consistent with the `reactflow` `ConnectionStartParams` type.
fix(ui): fix ts error
feat(nodes): add runtime check for custom field names
"Custom", "CustomCollection" and "CustomPolymorphic" are reserved field names.
chore(ui): add TODO for revising field type names
wip refactor fieldtype structured
wip refactor field types
wip refactor types
wip refactor types
fix node layout
refactor field types
chore: mypy
organisation
organisation
organisation
fix(nodes): fix field orig_required, field_kind and input statuses
feat(nodes): remove broken implementation of default_factory on InputField
Use of this could break connection validation due to the difference in node schemas required fields and invoke() required args.
Removed entirely for now. It wasn't ever actually used by the system, because all graphs always had values provided for fields where default_factory was used.
Also, pydantic is smart enough to not reuse the same object when specifying a default value - it clones the object first. So, the common pattern of `default_factory=list` is extraneous. It can just be `default=[]`.
fix(nodes): fix InputField name validation
workflow validation
validation
chore: ruff
feat(nodes): fix up baseinvocation comments
fix(ui): improve typing & logic of buildFieldInputTemplate
improved error handling in parseFieldType
fix: back compat for deprecated default_factory and UIType
feat(nodes): do not show node packs loaded log if none loaded
chore(ui): typegen
We used the `RealESRGANer` utility class from the repo. It handled model loading and tiled upscaling logic.
Unfortunately, it hasn't been updated in over a year, had no types, and annoyingly printed to console.
I've adapted the class, cleaning it up a bit and removing the bits that are not relevant for us.
Upscaling functionality is identical.
Currently translated at 64.9% (818 of 1260 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
* working on recall height/width
* working on adding resize
* working on feature
* fix(ui): move added translation from dist/ to public/
* fix(ui): use `metadata` as hotkey cb dependency
Using `imageDTO` may result in stale data being used
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* eslint added and new string added
* strings and translation hook added
* more changes made
* missing translation added
* final errors resolve in progress
* all errors resolved
* fix(ui): fix missing import of `t()`
* fix(ui): use plurals for moving images to board translation
* fix(ui): fix typo in translation key
* fix(ui): do not use translation for "invoke ai"
* chore(ui): lint
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* first string only to test
* more strings changed
* almost half strings added in json file
* more strings added
* more changes
* few strings and t function changed
* resolved
* errors resolved
* chore(ui): fmt en.json
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Currently translated at 64.4% (793 of 1231 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Resolves two bugs introduced in #5106:
1. Linear UI images sometimes didn't make it to the gallery.
This was a race condition. The VAE decode nodes were handled by the socketInvocationComplete listener. At that moment, the image was marked as intermediate. Immediately after this node was handled, a LinearUIOutputInvocation, introduced in #5106, was handled by socketInvocationComplete. This node internally sets changed the image to not intermediate.
During the handling of that socketInvocationComplete, RTK Query would sometimes use its cache instead of retrieving the image DTO again. The result is that the UI never got the message that the image was not intermediate, so it wasn't added to the gallery.
This is resolved by refactoring the socketInvocationComplete listener. We now skip the gallery processing for linear UI events, except for the LinearUIOutputInvocation. Images now always make it to the gallery, and network requests to get image DTOs are substantially reduced.
2. Canvas temp images always went into the gallery
The LinearUIOutputInvocation was always setting its image's is_intermediate to false. This included all canvas images and resulted in all canvas temp images going to gallery.
This is resolved by making LinearUIOutputInvocation set is_intermediate based on `self.is_intermediate`. The behaviour now more or less mirroring the behaviour of is_intermediate on other image-outputting nodes, except it doesn't save the image again - only changes it.
One extra minor change - LinearUIOutputInvocation only changes is_intermediate if it differs from the image's current setting. Very minor optimisation.
Add a LinearUIOutputInvocation node to be the new terminal node for Linear UI graphs. This node is private and hidden from the Workflow Editor, as it is an implementation detail.
The Linear UI was using the Save Image node for this purpose. It allowed every linear graph to end a single node type, which handled saving metadata and board. This substantially reduced the complexity of the linear graphs.
This caused two related issues:
- Images were saved to disk twice
- Noticeable delay between when an image was decoded and showed up in the UI
To resolve this, the new LinearUIOutputInvocation node will handle adding an image to a board if one is provided.
Metadata is no longer provided in this unified node. Instead, the metadata graph helpers now need to know the node to add metadata to and provide it to the last node that actually outputs an image. This is a `l2i` node for txt2img & img2img graphs, and a different image-outputting node for canvas graphs.
HRF poses another complication, in that it changes the terminal node. To handle this, a new metadata util is added called `setMetadataReceivingNode()`. HRF calls this to change the node that should receive the graph's metadata.
This resolves the duplicate images issue and improves perf without otherwise changing the user experience.
A workflow's nodes may update itself, if its major version matches the template's major version.
If the major versions do not match, the user will need to delete and re-add the node (current behaviour).
The update functionality is not automatic (for now). The logic to update the node is pretty simple, but I want to ensure it works well first before doing it automatically when a workflow is loaded.
- New `Details` tab on Workflow Inspector, displays node title, type, version, and notes
- Button to update the node is displayed on the `Details` tab
- Add hook to determine if a node needs an update, may be updated (i.e. major versions match), and the callback to update the node in state
- Remove the notes modal from the little info icon
- Modularize the node building logic
Do not use `strict=True` when scaling controlnet conditioning.
When using `guess_mode` (e.g. `more_control` or `more_prompt`), `down_block_res_samples` and `scales` are zipped.
These two objects are of different lengths, so using zip's strict mode raises an error.
In testing, `len(scales) === len(down_block_res_samples) + 1`.
It appears this behaviour is intentional, as the final "extra" item in `scales` is used immediately afterwards.
This rule enforces no arrow functions in component props. In practice, it means all functions passed as component props must be wrapped in `useCallback()`.
This is a performance optimization to prevent unnecessary rerenders.
The rule is added and all violations have been fixed, whew!
* adding VAE recall when using all parameters
* adding VAE to the RecallParameters tab in ImageMetadataActions
* checking for nil vae and casting to null if undefined
* adding default VAE to recall actions list if VAE is nullish
* fix(ui): use `lodash-es` for tree-shakeable imports
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* drop-down for the color picker
* fixed the bug in alpha value
* designing done
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* working
* added selector for method
* refactoring graph
* added ersgan method
* fixing yarn build
* add tooltips
* a conjuction
* rephrase
* removed manual sliders, set HRF to calculate dimensions automatically to match 512^2 pixels
* working
* working
* working
* fixed tooltip
* add hrf to use all parameters
* adding hrf method to parameters
* working on parameter recall
* working on parameter recall
* cleaning
* fix(ui): fix unnecessary casts in addHrfToGraph
* chore(ui): use camelCase in addHrfToGraph
* fix(ui): do not add HRF metadata unless HRF is added to graph
* fix(ui): remove unused imports in addHrfToGraph
* feat(ui): do not hide HRF params when disabled, only disable them
* fix(ui): remove unused vars in addHrfToGraph
* feat(ui): default HRF str to 0.35, method ESRGAN
* fix(ui): use isValidBoolean to check hrfEnabled param
* fix(nodes): update CoreMetadataInvocation fields for HRF
* feat(ui): set hrf strength default to 0.45
* fix(ui): set default hrf strength in configSlice
* feat(ui): use translations for HRF features
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
We have a number of shared classes, objects, and functions that are used in multiple places. This causes circular import issues.
This commit creates a new `app/shared/` module to hold these shared classes, objects, and functions.
Initially, only `FreeUConfig` and `FieldDescriptions` are moved here. This resolves a circular import issue with custom nodes.
Other shared classes, objects, and functions will be moved here in future commits.
Currently translated at 53.8% (657 of 1219 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 51.7% (630 of 1217 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 40.3% (491 of 1217 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 37.7% (460 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 36.4% (444 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 36.0% (439 of 1217 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 37.7% (460 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 36.4% (444 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 36.4% (443 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 36.0% (439 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 35.5% (433 of 1217 strings)
Co-authored-by: Fabian Bahl <fabian98@bahl-netz.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 36.0% (439 of 1217 strings)
translationBot(ui): update translation (German)
Currently translated at 35.5% (433 of 1217 strings)
Co-authored-by: Jaulustus <jaulustus@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 35.5% (433 of 1217 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 56.1% (683 of 1217 strings)
translationBot(ui): update translation (Japanese)
Currently translated at 40.3% (491 of 1217 strings)
Co-authored-by: Gohsuke Shimada <ghoskay@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ja/
Translation: InvokeAI/Web UI
Custom nodes may be places in `$INVOKEAI_ROOT/nodes/` (configurable with `custom_nodes_dir` option).
On app startup, an `__init__.py` is copied into the custom nodes dir, which recursively loads all python files in the directory as modules (files starting with `_` are ignored). The custom nodes dir is now a python module itself.
When we `from invocations import *` to load init all invocations, we load the custom nodes dir, registering all custom nodes.
Also added config options for metadata and workflow debounce times (`metadataFetchDebounce` & `workflowFetchDebounce`).
Falls back to 0 if not provided.
In OSS, because we have no major latency concerns, the debounce is 0. But in other environments, it may be desirable to set this to something like 300ms.
- Refactor how metadata is handled to support a user-defined metadata in graphs
- Update workflow embed handling
- Update UI to work with these changes
- Update tests to support metadata/workflow changes
This fixes a weird issue where the list images method needed to handle `None` for its `limit` and `offset` arguments, in order to get a count of all intermediates.
On our local installs this will be a very minor change. For those running on remote servers, load times should be slightly improved.
It's a small change but I think correct.
This should prevent `index.html` from *ever* being cached, so UIs will never be out of date.
Minor organisation to accomodate this.
Deleting old unused files from the early days
Also, the PREVIOUS commit (@8d3885d, which was already pushed to github repo) was wrongly commented, but too late to fix without a force push or other mucking that I'm reluctant to do. That commit is actually the one that has all the changes to diffusers_pipeline.py to use additional arg down_intrablock_additional_residuals (introduced in diffusers PR https://github.com/huggingface/diffusers/pull/5362) to detangle T2I-Adapter from ControlNet inputs to main UNet.
Upgrade pydantic and fastapi to latest.
- pydantic~=2.4.2
- fastapi~=103.2
- fastapi-events~=0.9.1
**Big Changes**
There are a number of logic changes needed to support pydantic v2. Most changes are very simple, like using the new methods to serialized and deserialize models, but there are a few more complex changes.
**Invocations**
The biggest change relates to invocation creation, instantiation and validation.
Because pydantic v2 moves all validation logic into the rust pydantic-core, we may no longer directly stick our fingers into the validation pie.
Previously, we (ab)used models and fields to allow invocation fields to be optional at instantiation, but required when `invoke()` is called. We directly manipulated the fields and invocation models when calling `invoke()`.
With pydantic v2, this is much more involved. Changes to the python wrapper do not propagate down to the rust validation logic - you have to rebuild the model. This causes problem with concurrent access to the invocation classes and is not a free operation.
This logic has been totally refactored and we do not need to change the model any more. The details are in `baseinvocation.py`, in the `InputField` function and `BaseInvocation.invoke_internal()` method.
In the end, this implementation is cleaner.
**Invocation Fields**
In pydantic v2, you can no longer directly add or remove fields from a model.
Previously, we did this to add the `type` field to invocations.
**Invocation Decorators**
With pydantic v2, we instead use the imperative `create_model()` API to create a new model with the additional field. This is done in `baseinvocation.py` in the `invocation()` wrapper.
A similar technique is used for `invocation_output()`.
**Minor Changes**
There are a number of minor changes around the pydantic v2 models API.
**Protected `model_` Namespace**
All models' pydantic-provided methods and attributes are prefixed with `model_` and this is considered a protected namespace. This causes some conflict, because "model" means something to us, and we have a ton of pydantic models with attributes starting with "model_".
Forunately, there are no direct conflicts. However, in any pydantic model where we define an attribute or method that starts with "model_", we must tell set the protected namespaces to an empty tuple.
```py
class IPAdapterModelField(BaseModel):
model_name: str = Field(description="Name of the IP-Adapter model")
base_model: BaseModelType = Field(description="Base model")
model_config = ConfigDict(protected_namespaces=())
```
**Model Serialization**
Pydantic models no longer have `Model.dict()` or `Model.json()`.
Instead, we use `Model.model_dump()` or `Model.model_dump_json()`.
**Model Deserialization**
Pydantic models no longer have `Model.parse_obj()` or `Model.parse_raw()`, and there are no `parse_raw_as()` or `parse_obj_as()` functions.
Instead, you need to create a `TypeAdapter` object to parse python objects or JSON into a model.
```py
adapter_graph = TypeAdapter(Graph)
deserialized_graph_from_json = adapter_graph.validate_json(graph_json)
deserialized_graph_from_dict = adapter_graph.validate_python(graph_dict)
```
**Field Customisation**
Pydantic `Field`s no longer accept arbitrary args.
Now, you must put all additional arbitrary args in a `json_schema_extra` arg on the field.
**Schema Customisation**
FastAPI and pydantic schema generation now follows the OpenAPI version 3.1 spec.
This necessitates two changes:
- Our schema customization logic has been revised
- Schema parsing to build node templates has been revised
The specific aren't important, but this does present additional surface area for bugs.
**Performance Improvements**
Pydantic v2 is a full rewrite with a rust backend. This offers a substantial performance improvement (pydantic claims 5x to 50x depending on the task). We'll notice this the most during serialization and deserialization of sessions/graphs, which happens very very often - a couple times per node.
I haven't done any benchmarks, but anecdotally, graph execution is much faster. Also, very larges graphs - like with massive iterators - are much, much faster.
There's a bug in chrome that screws with headers on fetch requests and 307 responses. This causes images to fail to copy in the commercial environment.
This change attempts to get around this by copying images in a different way (similar to how the canvas works). When the user requests a copy we:
- create an `<img />` element
- set `crossOrigin` if needed
- add an onload handler:
- create a canvas element
- draw image onto it
- export canvas to blob
This is wrapped in a promise which resolves to the blob, which can then be copied to clipboard.
---
A customized version of Konva's `useImage` hook is also included, which returns the image blob in addition to the `<img />` element. Unfortunately, this hook is not suitable for use across the app, because it does all the image fetching up front, regardless of whether we actually want to copy the image.
In other words, we'd have to fetch the whole image file even if the user is just skipping through image metadata, in order to have the blob to copy. The callback approach means we only fetch the image when the user clicks copy. The hook is thus currently unused.
Facetools nodes were cutting off faces that extended beyond chunk boundaries in some cases. All faces found are considered and are coalesced rather than pruned, meaning that you should not see half a face any more.
- Make all metadata items optional. This will reduce errors related to metadata not being provided when we update the backend but old queue items still exist
- Fix a bug in t2i adapter metadata handling where it checked for ip adapter metadata instaed of t2i adapter metadata
- Fix some metadata fields that were not using `InputField`
Currently translated at 91.4% (1112 of 1216 strings)
translationBot(ui): update translation (Italian)
Currently translated at 90.4% (1100 of 1216 strings)
translationBot(ui): update translation (Italian)
Currently translated at 90.4% (1100 of 1216 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
`mallinfo2` is not available on `glibc` < 2.33.
On these systems, we successfully load the library but get an `AttributeError` on attempting to access `mallinfo2`.
I'm not sure if the old `mallinfo` will work, and not sure how to install it safely to test, so for now we just handle the `AttributeError`.
This means the enhanced memory snapshot logic will be skipped for these systems, which isn't a big deal.
* added HrfScale type with initial value
* working
* working
* working
* working
* working
* added addHrfToGraph
* continueing to implement this
* working on this
* comments
* working
* made hrf into its own collapse
* working on adding strength slider
* working
* working
* refactoring
* working
* change of this working: 0
* removed onnx support since apparently its not used
* working
* made scale integer
* trying out psycicpebbles idea
* working
* working on this
* working
* added toggle
* comments
* self review
* fixing things
* remove 'any' type
* fixing typing
* changed initial strength value to 3 (large values cause issues)
* set denoising start to be 1 - strength to resemble image to image
* set initial value
* added image to image
* pr1
* pr2
* updating to resolution finding
* working
* working
* working
* working
* working
* working
* working
* working
* working
* use memo
* connect rescale hw to noise
* working
* fixed min bug
* nit
* hides elements conditionally
* style
* feat(ui): add config for HRF, disable if feature disabled or ONNX model in use
* fix(ui): use `useCallback` for HRF toggle
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* #4665 hides value of the corresponding metadata item by click on arrow
* #4787 return recall button back:)
* #4787 optional hide of metadata item, truncation and scrolling
* remove unused import
* #4787 recall parameters as separate tab in panel
* #4787 remove debug code
* fix(ui): undo changes to dist/locales/en.json
This file is autogenerated by our translation system and shouldn't be modified directly
* feat(ui): use scrollbar-enabled component for parameter recall tab
* fix(ui): revert unnecessary changes to DataViewer component
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Refactor services folder/module structure.
**Motivation**
While working on our services I've repeatedly encountered circular imports and a general lack of clarity regarding where to put things. The structure introduced goes a long way towards resolving those issues, setting us up for a clean structure going forward.
**Services**
Services are now in their own folder with a few files:
- `services/{service_name}/__init__.py`: init as needed, mostly empty now
- `services/{service_name}/{service_name}_base.py`: the base class for the service
- `services/{service_name}/{service_name}_{impl_type}.py`: the default concrete implementation of the service - typically one of `sqlite`, `default`, or `memory`
- `services/{service_name}/{service_name}_common.py`: any common items - models, exceptions, utilities, etc
Though it's a bit verbose to have the service name both as the folder name and the prefix for files, I found it is _extremely_ confusing to have all of the base classes just be named `base.py`. So, at the cost of some verbosity when importing things, I've included the service name in the filename.
There are some minor logic changes. For example, in `InvocationProcessor`, instead of assigning the model manager service to a variable to be used later in the file, the service is used directly via the `Invoker`.
**Shared**
Things that are used across disparate services are in `services/shared/`:
- `default_graphs.py`: previously in `services/`
- `graphs.py`: previously in `services/`
- `paginatation`: generic pagination models used in a few services
- `sqlite`: the `SqliteDatabase` class, other sqlite-specific things
**Service Dependencies**
Services that depend on other services now access those services via the `Invoker` object. This object is provided to the service as a kwarg to its `start()` method.
Until now, most services did not utilize this feature, and several services required their dependencies to be initialized and passed in on init.
Additionally, _all_ services are now registered as invocation services - including the low-level services. This obviates issues with inter-dependent services we would otherwise experience as we add workflow storage.
**Database Access**
Previously, we were passing in a separate sqlite connection and corresponding lock as args to services in their init. A good amount of posturing was done in each service that uses the db.
These objects, along with the sqlite startup and cleanup logic, is now abstracted into a simple `SqliteDatabase` class. This creates the shared connection and lock objects, enables foreign keys, and provides a `clean()` method to do startup db maintenance.
This is not a service as it's only used by sqlite services.
Currently translated at 98.0% (1186 of 1210 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 98.0% (1179 of 1203 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 97.9% (1175 of 1199 strings)
Co-authored-by: Surisen <zhonghx0804@outlook.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI
Currently translated at 92.0% (1104 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 92.1% (1105 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 83.2% (998 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 83.0% (996 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 67.5% (810 of 1199 strings)
Co-authored-by: Surisen <zhonghx0804@outlook.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI
Currently translated at 85.5% (1026 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.7% (1016 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.7% (1016 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.4% (1012 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.3% (1011 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 83.5% (1002 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.5% (978 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 80.8% (969 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 80.7% (968 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (607 of 607 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (605 of 605 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 65.5% (643 of 981 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (605 of 605 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 81.2% (958 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.2% (958 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 76.6% (904 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 76.5% (903 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 71.9% (848 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 71.7% (845 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 71.7% (845 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 67.8% (799 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 58.5% (689 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 59.8% (640 of 1069 strings)
translationBot(ui): update translation (Italian)
Currently translated at 57.2% (612 of 1069 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (607 of 607 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (605 of 605 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (605 of 605 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (602 of 602 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 97.8% (589 of 602 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (603 of 603 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (599 of 599 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (596 of 596 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (595 of 595 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (595 of 595 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (593 of 593 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (592 of 592 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 99.6% (601 of 603 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 99.5% (600 of 603 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (599 of 599 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (596 of 596 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 99.8% (594 of 595 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (593 of 593 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (592 of 592 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (563 of 563 strings)
translationBot(ui): update translation (Dutch)
Currently translated at 100.0% (563 of 563 strings)
Co-authored-by: Dennis <dennis@vanzoerlandt.nl>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/nl/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (591 of 591 strings)
translationBot(ui): update translation (Italian)
Currently translated at 99.3% (587 of 591 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (586 of 586 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (578 of 578 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (563 of 563 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (559 of 559 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (559 of 559 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (551 of 551 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 99.5% (602 of 605 strings)
translationBot(ui): update translation (Russian)
Currently translated at 99.8% (605 of 606 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (596 of 596 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (595 of 595 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (593 of 593 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (592 of 592 strings)
translationBot(ui): update translation (Russian)
Currently translated at 90.2% (534 of 592 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (543 of 543 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (550 of 550 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (548 of 548 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (546 of 546 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (541 of 541 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (544 of 544 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (543 of 543 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 88.0% (477 of 542 strings)
Co-authored-by: Song, Pengcheng <17528592@qq.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Russian)
Currently translated at 98.8% (536 of 542 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (533 of 533 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (540 of 540 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (538 of 538 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 99.8% (535 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (533 of 533 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (533 of 533 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (591 of 591 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (586 of 586 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (578 of 578 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (563 of 563 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (550 of 550 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (550 of 550 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (548 of 548 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (546 of 546 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (544 of 544 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (543 of 543 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (540 of 540 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (533 of 533 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 99.8% (532 of 533 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (526 of 526 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (519 of 519 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (526 of 526 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (523 of 523 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (519 of 519 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (515 of 515 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (526 of 526 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (523 of 523 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (519 of 519 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (515 of 515 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 98.0% (1186 of 1210 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 98.0% (1179 of 1203 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 97.9% (1175 of 1199 strings)
Co-authored-by: Surisen <zhonghx0804@outlook.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI
Currently translated at 92.0% (1104 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 92.1% (1105 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 83.2% (998 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 83.0% (996 of 1199 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 67.5% (810 of 1199 strings)
Co-authored-by: Surisen <zhonghx0804@outlook.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI
Currently translated at 87.1% (1054 of 1210 strings)
translationBot(ui): update translation (Italian)
Currently translated at 85.5% (1026 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.7% (1016 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.7% (1016 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.4% (1012 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 84.3% (1011 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 83.5% (1002 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.5% (978 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 80.8% (969 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 80.7% (968 of 1199 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.3% (959 of 1179 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (607 of 607 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (605 of 605 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 65.5% (643 of 981 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (605 of 605 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 81.2% (958 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 81.2% (958 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 76.6% (904 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 76.5% (903 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 71.9% (848 of 1179 strings)
translationBot(ui): update translation (Italian)
Currently translated at 71.7% (845 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 71.7% (845 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 67.8% (799 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 58.5% (689 of 1177 strings)
translationBot(ui): update translation (Italian)
Currently translated at 59.8% (640 of 1069 strings)
translationBot(ui): update translation (Italian)
Currently translated at 57.2% (612 of 1069 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (607 of 607 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (605 of 605 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (605 of 605 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (602 of 602 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 97.8% (589 of 602 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (603 of 603 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (599 of 599 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (596 of 596 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (595 of 595 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (595 of 595 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (593 of 593 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (592 of 592 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 99.6% (601 of 603 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 99.5% (600 of 603 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (599 of 599 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (596 of 596 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 99.8% (594 of 595 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (593 of 593 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (592 of 592 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (563 of 563 strings)
translationBot(ui): update translation (Dutch)
Currently translated at 100.0% (563 of 563 strings)
Co-authored-by: Dennis <dennis@vanzoerlandt.nl>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/nl/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (591 of 591 strings)
translationBot(ui): update translation (Italian)
Currently translated at 99.3% (587 of 591 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (586 of 586 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (578 of 578 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (563 of 563 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (559 of 559 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (559 of 559 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (551 of 551 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 99.5% (602 of 605 strings)
translationBot(ui): update translation (Russian)
Currently translated at 99.8% (605 of 606 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (596 of 596 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (595 of 595 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (593 of 593 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (592 of 592 strings)
translationBot(ui): update translation (Russian)
Currently translated at 90.2% (534 of 592 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (543 of 543 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (550 of 550 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (548 of 548 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (546 of 546 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (541 of 541 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (544 of 544 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (543 of 543 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Chinese (Simplified))
Currently translated at 88.0% (477 of 542 strings)
Co-authored-by: Song, Pengcheng <17528592@qq.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/zh_Hans/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Russian)
Currently translated at 98.8% (536 of 542 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (533 of 533 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (540 of 540 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (538 of 538 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 99.8% (535 of 536 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (533 of 533 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (533 of 533 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (591 of 591 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (586 of 586 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (578 of 578 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (563 of 563 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (550 of 550 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (550 of 550 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (548 of 548 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (546 of 546 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (544 of 544 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (543 of 543 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (542 of 542 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (540 of 540 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (536 of 536 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (533 of 533 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 99.8% (532 of 533 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (526 of 526 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (519 of 519 strings)
Co-authored-by: System X - Files <vasyasos@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (526 of 526 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (523 of 523 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (519 of 519 strings)
translationBot(ui): update translation (Italian)
Currently translated at 100.0% (515 of 515 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Currently translated at 100.0% (526 of 526 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (523 of 523 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (519 of 519 strings)
translationBot(ui): update translation (Spanish)
Currently translated at 100.0% (515 of 515 strings)
Co-authored-by: gallegonovato <fran-carro@hotmail.es>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/
Translation: InvokeAI/Web UI
* UI for bulk downloading boards or groups of images
* placeholder route for bulk downloads that does nothing
* lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Add support for FreeU. See:
- https://huggingface.co/docs/diffusers/main/en/using-diffusers/freeu
- https://github.com/ChenyangSi/FreeU
Implementation:
- `ModelPatcher.apply_freeu()` handles the enabling freeu (which is very simple with diffusers).
- `FreeUConfig` model added to hold the hyperparameters.
- `freeu_config` added as optional sub-field on `UNetField`.
- `FreeUInvocation` added, works like LoRA - chain it to add the FreeU config to the UNet
- No support for model-dependent presets, this will be a future workflow editor enhancement
Closes#4845
The canvas needs to be set to staging mode as soon as a canvas-destined batch is enqueued. If the batch is is fully canceled before an image is generated, we need to remove that batch from the canvas `batchIds` watchlist, else canvas gets stuck in staging mode with no way to exit.
The changes here allow the batch status to be tracked, and if a batch has all its items completed, we can remove it from the `batchIds` watchlist. The `batchIds` watchlist now accurately represents *incomplete* canvas batches, fixing this cause of soft lock.
The UI will always re-fetch queue and batch status on receiving this event, so we may as well jsut include that data in the event and save the extra network roundtrips.
- Update backend metadata for t2i adapter
- Fix typo in `T2IAdapterInvocation`: `ip_adapter_model` -> `t2i_adapter_model`
- Update linear graphs to use t2i adapter
- Add client metadata recall for t2i adapter
- Fix bug with controlnet metadata recall - processor should be set to 'none' when recalling a control adapter
Control adapters logic/state/ui is now generalized to hold controlnet, ip_adapter and t2i_adapter. In the future, other control adapter types can be added.
TODO:
- Limit IP adapter to 1
- Add T2I adapter to linear graphs
- Fix autoprocess
- T2I metadata saving & recall
- Improve on control adapters UI
* Bump diffusers to 0.21.2.
* Add T2IAdapterInvocation boilerplate.
* Add T2I-Adapter model to model-management.
* (minor) Tidy prepare_control_image(...).
* Add logic to run the T2I-Adapter models at the start of the DenoiseLatentsInvocation.
* Add logic for applying T2I-Adapter weights and accumulating.
* Add T2IAdapter to MODEL_CLASSES map.
* yarn typegen
* Add model probes for T2I-Adapter models.
* Add all of the frontend boilerplate required to use T2I-Adapter in the nodes editor.
* Add T2IAdapterModel.convert_if_required(...).
* Fix errors in T2I-Adapter input image sizing logic.
* Fix bug with handling of multiple T2I-Adapters.
* black / flake8
* Fix typo
* yarn build
* Add num_channels param to prepare_control_image(...).
* Link to upstream diffusers bugfix PR that currently requires a workaround.
* feat: Add Color Map Preprocessor
Needed for the color T2I Adapter
* feat: Add Color Map Preprocessor to Linear UI
* Revert "feat: Add Color Map Preprocessor"
This reverts commit a1119a00bf.
* Revert "feat: Add Color Map Preprocessor to Linear UI"
This reverts commit bd8a9b82d8.
* Fix T2I-Adapter field rendering in workflow editor.
* yarn build, yarn typegen
---------
Co-authored-by: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
When the processor has an error and it has a queue item, mark that item failed.
This addresses processor errors resulting in `in_progress` queue items, which create a soft lock of the processor, requiring the user to cancel the `in_progress` item before anything else processes.
Makes graph validation logic more rigorous, validating graphs when they are created as part of a session or batch.
`validate_self()` method added to `Graph` model. It does all the validation that `is_valid()` did, plus a few extras:
- unique `node.id` values across graph
- node ids match their key in `Graph.nodes`
- recursively validate subgraphs
- validate all edges
- validate graph is acyclical
The new method is required because `is_valid()` just returned a boolean. That behaviour is retained, but `validate_self()` now raises appropriate exceptions for validation errors. This are then surfaced to the client.
The function is named `validate_self()` because pydantic reserves `validate()`.
There are two main places where graphs are created - in batches and in sessions.
Field validators are added to each of these for their `graph` fields, which call the new validation logic.
**Closes #4744**
In this issue, a batch is enqueued with an invalid graph. The output field is typed as optional while the input field is required. The field types themselves are not relevant - this change addresses the case where an invalid graph was created.
The mismatched types problem is not noticed until we attempt to invoke the graph, because the graph was never *fully* validated. An error is raised during the call to `graph_execution_state.next()` in `invoker.py`. This function prepares the edges and validates them, raising an exception due to the mismatched types.
This exception is caught by the session processor, but it doesn't handle this situation well - the graph is not marked as having an error and the queue item status is never changed. The queue item is therefore forever `in_progress`, so no new queue items are popped - the app won't do anything until the queue item is canceled manually.
This commit addresses this by preventing invalid graphs from being created in the first place, addressing a substantial number of fail cases.
The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = fastest, largest filesize, 9 = slowest, smallest filesize
Closes#4786
This is fired when the dnd image is moved over the 'none' board. Weren't defaulting to 'none' for the image's board_id, resulting in it being possible to drag a 'none' image onto 'none'.
Selections were not being `uniqBy()`'d, or were `uniqBy()`'d without a proper iteratee. This results in duplicate images in selections in certain situations.
Add correct `uniqBy()` to the reducer to prevent this in the future.
This caused a crapload of network requests any time an image was generated.
The counts are necessary to handle the logic for inserting images into existing image list caches; we have to keep track of the counts.
Replace tag invalidation with manual cache updates in all cases, except the initial request (which is necessary to get the initial image counts).
One subtle change is to make the counts an object instead of a number. This is required for `immer` to handle draft states. This should be raised as a bug with RTK Query, as no error is thrown when attempting to update a primitive immer draft.
The helper function `generate_face_box_mask()` had a bug that prevented larger faces from being detected in some situations. This is resolved, and its dependent nodes (all the FaceTools nodes) have a patch version bump.
* feat(ui): max upscale pixels config
Add `maxUpscalePixels: number` to the app config. The number should be the *total* number of pixels eg `maxUpscalePixels: 4096 * 4096`.
If not provided, any size image may be upscaled.
If the config is provided, users will see be advised if their image is too large for either model, or told to switch to an x2 model if it's only too large for x4.
The message is via tooltip in the popover and via toast if the user uses the hotkey to upscale.
* feat(ui): "mayUpscale" -> "isAllowedToUpscale"
* Initial commit of edge drag feature.
* Fixed build warnings
* code cleanup and drag to existing node
* improved isValidConnection check
* fixed build issues, removed cyclic dependency
* edge created nodes now spawn at cursor
* Add Node popover will no longer show when using drag to delete an edge.
* Fixed collection handling, added priority for handles matching name of source handle, removed current image/notes nodes from filtered list
* Fixed not properly clearing startParams when closing the Add Node popover
* fix(ui): do not allow Collect -> Iterate connection
This can be removed when #3956 is resolved
* feat(ui): use existing node validation logic in add-node-on-drop
This logic handles a number of special cases
---------
Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* node-FaceTools
* Added more documentation for facetools
* invert FaceMask masking
- FaceMask had face protected and surroundings change by default (face white, else black)
- Change to how FaceOff/others work: the opposite where surroundings protected, face changes by default (face black, else white)
* reflect changed facemask behaviour in docs
* add FaceOff+FaceMask workflows
- Add FaceOff and FaceMask example workflows to docs/workflows
* add FaceMask+FaceOff workflows to exampleworkflows.md
- used invokeai URL paths mimicking other workflow URLs, hopefully they translate when/if merged
* inheriting, typehints, black/isort/flake8
- modified FaceMask and FaceOff output classes to inherit base image, height, width from ImageOutput
- Added type annotations to helper functions, required some reworking of code's stored data
* remove credit header
- Was in my personal/repo copy, don't think it's necessary if merged.
* Optionals & image declaration duplication
- Added Optional[] to optional outputs and types
- removed duplication of image = context.services.images.get_pil_images(self.image.image_name) declaration
- Still need to find a way to deal with mask_pil None typing errors
* face(facetools): fix typing issues, add validation, clean up structure
* feat(facetools): update field descriptions
* Update FaceOff_FaceScale2x.json
- update FaceOff workflow after Bounded Image field removed in place of inheriting Image out field from ImageOutput
* feat(facetools): pass through original image on facemask if invalid face ids requested
* feat(facetools): tidy variable names & fn calls
* feat(facetools): bundle inter font, draw ids with it
Inter is a SIL Open Font license. The license is included and is fully permissive. Inter is the same font the UI and commercial application already uses.
Only the "regular" version is bundled.
* chore(facetools): isort & fix mypy issues
* docs(facetools): update and format docs
---------
Co-authored-by: Millun Atluri <millun.atluri@gmail.com>
Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* add control net to useRecallParams
* got recall controlnets working
* fix metadata viewer controlnet
* fix type errors
* fix controlnet metadata viewer
* add ip adapter to metadata
* added ip adapter to recall parameters
* got ip adapter recall working, still need to fix type errors
* fix type issues
* clean up logs
* python formatting
* cleanup
* fix(ui): only store `image_name` as ip adapter image
* fix(ui): use nullish coalescing operator for numbers
Need to use the nullish coalescing operator `??` instead of false-y coalescing operator `||` when the value being check is a number. This prevents unintended coalescing when the value is zero and therefore false-y.
* feat(ui): fall back on default values for ip adapter metadata
* fix(ui): remove unused schema
* feat(ui): re-use existing schemas in metadata schema
* fix(ui): do not disable invocationCache
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
This hook was rerendering any time anything changed. Moved it to a logical component, put its useEffects inside the component. This reduces the effect of the rerenders to just that tiny always-null component.
* add control net to useRecallParams
* got recall controlnets working
* fix metadata viewer controlnet
* fix type errors
* fix controlnet metadata viewer
* set control image and use correct processor type and node
* clean up logs
* recall processor using substring
* feat(ui): enable controlNet when recalling one
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
- Current image number & total are displayed
- Left/right wrap around instead of stopping on first/last image
- Disable the left/right/number buttons when showing base layer
- improved translations
- Drag the end of an edge away from its handle to disconnect it
- Drop in empty space to delete the edge
- Drop on valid handle to reconnect it
- Update connection logic slightly to allow edge updates
* feat(ui): add error handling for enqueueBatch route, remove sessions
This re-implements the handling for the session create/invoke errors, but for batches.
Also remove all references to the old sessions routes in the UI.
* feat(ui): improve canvas image error UI
* make canvas error state gray instead of red
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
* Add 'Random Float' node <3
does what it says on the tin :)
* Add random float + random seeded float nodes
altered my random float node as requested by Millu, kept the seeded version as an alternate variant for those that would like to control the randomization seed :)
* Update math.py
* Update math.py
* feat(nodes): standardize fields to match other nodes
---------
Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* fix(nodes): do not disable invocation cache delete methods
When the runtime disabled flag is on, do not skip the delete methods. This could lead to a hit on a missing resource.
Do skip them when the cache size is 0, because the user cannot change this (must restart app to change it).
* fix(nodes): do not use double-underscores in cache service
* Thread lock for cache
* Making cache LRU
* Bug fixes
* bugfix
* Switching to one Lock and OrderedDict cache
* Removing unused imports
* Move lock cache instance
* Addressing PR comments
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Martin Kristiansen <martin@modyfi.io>
* add skeleton loading state for queue lit
* hide use cache checkbox if cache is disabled
* undo accidental add
* feat(ui): hide node footer entirely if nothing to show there
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Skeletons are for when we know the number of specific content items that are loading. When the queue is loading, we don't know how many items there are, or how many will load, so the whole list should be replaced with loading state.
The previous behaviour rendered a static number of skeletons. That number would rarely be the right number - the app shouldn't say "I'm loading 7 queue items", then load none, or load 50.
A future enhancement could use the queue item skeleton component and go by the total number of queue items, as reported by the queue status. I tried this but had some layout jankiness, not worth the effort right now.
The queue item skeleton component's styling was updated to support this future enhancement, making it exactly the same size as a queue item (it was a bit smaller before).
This is actually a platform-specific issue. `madge` is complaining about a circular dependency on a single file - `invokeai/frontend/web/src/features/queue/store/nanoStores.ts`. In that file, we import from the `nanostores` package. Very similar name to the file itself.
The error only appears on Windows and macOS, I imagine because those systems both resolve `nanostores` to itself before resolving to the package.
The solution is simple - rename `nanoStores.ts`. It's now `queueNanoStore.ts`.
- Change translations to use arrays of paragraphs instead of a single paragraph.
- Change component to accept a `feature` prop to identify the feature which the popover describes.
- Add optional `wrapperProps`: passed to the wrapper element, allowing more flexibility when using the popover
- Add optional `popoverProps`: passed to the `<Popover />` component, allowing for overriding individual instances of the popover's props
- Move definitions of features and popover settings to `invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts`
- Add some type safety to the `feature` prop
- Edit `POPOVER_DATA` to provide `image`, `href`, `buttonLabel`, and any popover props. The popover props are applied to all instances of the popover for the given feature. Note that the component prop `popoverProps` will override settings here.
- Remove the popover's arrow. Because the popover is wrapping groups of components, sometimes the error ends up pointing to nothing, which looks kinda janky. I've just removed the arrow entirely, but feel free to add it back if you think it looks better.
- Use a `link` variant button with external link icon to better communicate that clicking the button will open a new tab.
- Default the link button label to "Learn More" (if a label is provided, that will be used instead)
- Make default position `top`, but set manually set some to `right` - namely, anything with a dropdown. This prevents the popovers from obscuring or being obscured by the dropdowns.
- Do a bit more restructuring of the Popover component itself, and how it is integrated with other components
- More ref forwarding
- Make the open delay 1s
- Set the popovers to use lazy mounting (eg do not mount until the user opens the thing)
- Update the verbiage for many popover items and add missing dynamic prompts stuff
When the runtime disabled flag is on, do not skip the delete methods. This could lead to a hit on a missing resource.
Do skip them when the cache size is 0, because the user cannot change this (must restart app to change it).
- No longer need to make network request to add image to board after it's finished - removed
- Update linear graphs & upscale graph to save image to the board
- Update autoSwitch logic so when image is generated we still switch to the right board
- Remove the add-to-board node
- Create `BoardField` field type & add it to `save_image` node
- Add UI for `BoardField`
- Tighten up some loose types
- Make `save_image` node, in workflow editor, default to not intermediate
- Patch bump `save_image`
* break out separate functions for preselected images, remove recallAllParameters dep as it causes circular logic with model being set
* lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
- New routes to clear, enable, disable and get the status of the cache
- Status includes hits, misses, size, max size, enabled
- Add client cache queries and mutations, abstracted into hooks
- Add invocation cache status area (next to queue status) w/ buttons
* Initial commit. Feature works, but code might need some cleanup
* Cleaned up diff
* Made mousePosition a XYPosition again so its nicely typed
* Fixed yarn issues
* Paste now properly takes node width/height into account when pasting
* feat(ui): use react's types in the `onMouseMove` `reactflow` handler
* feat(ui): use refs to access `reactflow`'s DOM elements
* feat(ui): use a ref to store cursor position in nodes
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Polymorphic fields now render the appropriate input component for their base type.
For example, float polymorphics will render the number input box.
You no longer need to specify ui_type to force it to display.
TODO: The UI *may* break if a list is provided as the default value for a polymorphic field.
* Remove fastapi-socketio dependency, doesn't really do much for us and isn't well maintained
* Run python black
* Remove fastapi_socketio import
* Add __app as class variable in case we ever need it later
* Run isort
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* feat(ui): tweak queue UI components
* fix(ui): manually dispatch queue status query on queue item status change
RTK Query occasionally aborts the query that occurs when the tag is invalidated, especially if multples of them fire in rapid succession.
This resulted in the queue status and progress bar sometimes not reseting when the queue finishes its last item.
Manually dispatch the query now to get around this. Eventually should probably move this to a socket so we don't need to keep responding to socket with HTTP requests. Just send ti directly via socket
* chore(ui): remove errant console.logs
* fix(ui): do not accumulate node outputs in outputs area
* fix(ui): fix merge issue
---------
Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Add `batch_id` to outbound events. This necessitates adding it to both `InvocationContext` and `InvocationQueueItem`. This allows the canvas to receive images.
When the user enqueues a batch on the canvas, it is expected that all images from that batch are directed to the canvas.
The simplest, most flexible solution is to add the `batch_id` to the invocation context-y stuff. Then everything knows what batch it came from, and we can have the canvas pick up images associated with its list of canvas `batch_id`s.
This change enhances the invocation cache logic to delete cache entries when the resources to which they refer are deleted.
For example, a cached output may refer to "some_image.png". If that image is deleted, and this particular cache entry is later retrieved by a node, that node's successors will receive references to the now non-existent "some_image.png". When they attempt to use that image, they will fail.
To resolve this, we need to invalidate the cache when the resources to which it refers are deleted. Two options:
- Invalidate the whole cache on every image/latents/etc delete
- Selectively invalidate cache entries when their resources are deleted
Node outputs can be any shape, with any number of resource references in arbitrarily nested pydantic models. Traversing that structure to identify resources is not trivial.
But invalidating the whole cache is a bit heavy-handed. It would be nice to be more selective.
Simple solution:
- Invocation outputs' resource references are always string identifiers - like the image's or latents' name
- Invocation outputs can be stringified, which includes said identifiers
- When the invocation is cached, we store the stringified output alongside the "live" output classes
- When a resource is deleted, pass its identifier to the cache service, which can then invalidate any cache entries that refer to it
The images and latents storage services have been outfitted with `on_deleted()` callbacks, and the cache service registers itself to handle those events. This logic was copied from `ItemStorageABC`.
`on_changed()` callback are also added to the images and latents services, though these are not currently used. Just following the existing pattern.
* fix(config): fix typing issues in `config/`
`config/invokeai_config.py`:
- use `Optional` for things that are optional
- fix typing of `ram_cache_size()` and `vram_cache_size()`
- remove unused and incorrectly typed method `autoconvert_path`
- fix types and logic for `parse_args()`, in which `InvokeAIAppConfig.initconf` *must* be a `DictConfig`, but function would allow it to be set as a `ListConfig`, which presumably would cause issues elsewhere
`config/base.py`:
- use `cls` for first arg of class methods
- use `Optional` for things that are optional
- fix minor type issue related to setting of `env_prefix`
- remove unused `add_subparser()` method, which calls `add_parser()` on an `ArgumentParser` (method only available on the `_SubParsersAction` object, which is returned from ArgumentParser.add_subparsers()`)
* feat: queued generation and batches
Due to a very messy branch with broad addition of `isort` on `main` alongside it, some git surgery was needed to get an agreeable git history. This commit represents all of the work on queued generation. See PR for notes.
* chore: flake8, isort, black
* fix(nodes): fix incorrect service stop() method
* fix(nodes): improve names of a few variables
* fix(tests): fix up tests after changes to batches/queue
* feat(tests): add unit tests for session queue helper functions
* feat(ui): dynamic prompts is always enabled
* feat(queue): add queue_status_changed event
* feat(ui): wip queue graphs
* feat(nodes): move cleanup til after invoker startup
* feat(nodes): add cancel_by_batch_ids
* feat(ui): wip batch graphs & UI
* fix(nodes): remove `Batch.batch_id` from required
* fix(ui): cleanup and use fixedCacheKey for all mutations
* fix(ui): remove orphaned nodes from canvas graphs
* fix(nodes): fix cancel_by_batch_ids result count
* fix(ui): only show cancel batch tooltip when batches were canceled
* chore: isort
* fix(api): return `[""]` when dynamic prompts generates no prompts
Just a simple fallback so we always have a prompt.
* feat(ui): dynamicPrompts.combinatorial is always on
There seems to be little purpose in using the combinatorial generation for dynamic prompts. I've disabled it by hiding it from the UI and defaulting combinatorial to true. If we want to enable it again in the future it's straightforward to do so.
* feat: add queue_id & support logic
* feat(ui): fix upscale button
It prepends the upscale operation to queue
* feat(nodes): return queue item when enqueuing a single graph
This facilitates one-off graph async workflows in the client.
* feat(ui): move controlnet autoprocess to queue
* fix(ui): fix non-serializable DOMRect in redux state
* feat(ui): QueueTable performance tweaks
* feat(ui): update queue list
Queue items expand to show the full queue item. Just as JSON for now.
* wip threaded session_processor
* feat(nodes,ui): fully migrate queue to session_processor
* feat(nodes,ui): add processor events
* feat(ui): ui tweaks
* feat(nodes,ui): consolidate events, reduce network requests
* feat(ui): cleanup & abstract queue hooks
* feat(nodes): optimize batch permutation
Use a generator to do only as much work as is needed.
Previously, though we only ended up creating exactly as many queue items as was needed, there was still some intermediary work that calculated *all* permutations. When that number was very high, the system had a very hard time and used a lot of memory.
The logic has been refactored to use a generator. Additionally, the batch validators are optimized to return early and use less memory.
* feat(ui): add seed behaviour parameter
This dynamic prompts parameter allows the seed to be randomized per prompt or per iteration:
- Per iteration: Use the same seed for all prompts in a single dynamic prompt expansion
- Per prompt: Use a different seed for every single prompt
"Per iteration" is appropriate for exploring a the latents space with a stable starting noise, while "Per prompt" provides more variation.
* fix(ui): remove extraneous random seed nodes from linear graphs
* fix(ui): fix controlnet autoprocess not working when queue is running
* feat(queue): add timestamps to queue status updates
Also show execution time in queue list
* feat(queue): change all execution-related events to use the `queue_id` as the room, also include `queue_item_id` in InvocationQueueItem
This allows for much simpler handling of queue items.
* feat(api): deprecate sessions router
* chore(backend): tidy logging in `dependencies.py`
* fix(backend): respect `use_memory_db`
* feat(backend): add `config.log_sql` (enables sql trace logging)
* feat: add invocation cache
Supersedes #4574
The invocation cache provides simple node memoization functionality. Nodes that use the cache are memoized and not re-executed if their inputs haven't changed. Instead, the stored output is returned.
## Results
This feature provides anywhere some significant to massive performance improvement.
The improvement is most marked on large batches of generations where you only change a couple things (e.g. different seed or prompt for each iteration) and low-VRAM systems, where skipping an extraneous model load is a big deal.
## Overview
A new `invocation_cache` service is added to handle the caching. There's not much to it.
All nodes now inherit a boolean `use_cache` field from `BaseInvocation`. This is a node field and not a class attribute, because specific instances of nodes may want to opt in or out of caching.
The recently-added `invoke_internal()` method on `BaseInvocation` is used as an entrypoint for the cache logic.
To create a cache key, the invocation is first serialized using pydantic's provided `json()` method, skipping the unique `id` field. Then python's very fast builtin `hash()` is used to create an integer key. All implementations of `InvocationCacheBase` must provide a class method `create_key()` which accepts an invocation and outputs a string or integer key.
## In-Memory Implementation
An in-memory implementation is provided. In this implementation, the node outputs are stored in memory as python classes. The in-memory cache does not persist application restarts.
Max node cache size is added as `node_cache_size` under the `Generation` config category.
It defaults to 512 - this number is up for discussion, but given that these are relatively lightweight pydantic models, I think it's safe to up this even higher.
Note that the cache isn't storing the big stuff - tensors and images are store on disk, and outputs include only references to them.
## Node Definition
The default for all nodes is to use the cache. The `@invocation` decorator now accepts an optional `use_cache: bool` argument to override the default of `True`.
Non-deterministic nodes, however, should set this to `False`. Currently, all random-stuff nodes, including `dynamic_prompt`, are set to `False`.
The field name `use_cache` is now effectively a reserved field name and possibly a breaking change if any community nodes use this as a field name. In hindsight, all our reserved field names should have been prefixed with underscores or something.
## One Gotcha
Leaf nodes probably want to opt out of the cache, because if they are not cached, their outputs are not saved again.
If you run the same graph multiple times, you only end up with a single image output, because the image storage side-effects are in the `invoke()` method, which is bypassed if we have a cache hit.
## Linear UI
The linear graphs _almost_ just work, but due to the gotcha, we need to be careful about the final image-outputting node. To resolve this, a `SaveImageInvocation` node is added and used in the linear graphs.
This node is similar to `ImagePrimitive`, except it saves a copy of its input image, and has `use_cache` set to `False` by default.
This is now the leaf node in all linear graphs, and is the only node in those graphs with `use_cache == False` _and_ the only node with `is_intermedate == False`.
## Workflow Editor
All nodes now have a footer with a new `Use Cache [ ]` checkbox. It defaults to the value set by the invocation in its python definition, but can be changed by the user.
The workflow/node validation logic has been updated to migrate old workflows to use the new default values for `use_cache`. Users may still want to review the settings that have been chosen. In the event of catastrophic failure when running this migration, the default value of `True` is applied, as this is correct for most nodes.
Users should consider saving their workflows after loading them in and having them updated.
## Future Enhancements - Callback
A future enhancement would be to provide a callback to the `use_cache` flag that would be run as the node is executed to determine, based on its own internal state, if the cache should be used or not.
This would be useful for `DynamicPromptInvocation`, where the deterministic behaviour is determined by the `combinatorial: bool` field.
## Future Enhancements - Persisted Cache
Similar to how the latents storage is backed by disk, the invocation cache could be persisted to the database or disk. We'd need to be very careful about deserializing outputs, but it's perhaps worth exploring in the future.
* fix(ui): fix queue list item width
* feat(nodes): do not send the whole node on every generator progress
* feat(ui): strip out old logic related to sessions
Things like `isProcessing` are no longer relevant with queue. Removed them all & updated everything be appropriate for queue. May be a few little quirks I've missed...
* feat(ui): fix up param collapse labels
* feat(ui): click queue count to go to queue tab
* tidy(queue): update comment, query format
* feat(ui): fix progress bar when canceling
* fix(ui): fix circular dependency
* feat(nodes): bail on node caching logic if `node_cache_size == 0`
* feat(nodes): handle KeyError on node cache pop
* feat(nodes): bypass cache codepath if caches is disabled
more better no do thing
* fix(ui): reset api cache on connect/disconnect
* feat(ui): prevent enqueue when no prompts generated
* feat(ui): add queue controls to workflow editor
* feat(ui): update floating buttons & other incidental UI tweaks
* fix(ui): fix missing/incorrect translation keys
* fix(tests): add config service to mock invocation services
invoking needs access to `node_cache_size` to occur
* optionally remove pause/resume buttons from queue UI
* option to disable prepending
* chore(ui): remove unused file
* feat(queue): remove `order_id` entirely, `item_id` is now an autoinc pk
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
The immutable and serializable checks for redux can cause substantial performance issues. The immutable check in particular is pretty heavy. It's only run in dev mode, but this and really slow down the already-slower performance of dev mode.
The most important one for us is serializable, which has far less of a performance impact.
The immutable check is largely redundant because we use immer-backed RTK for everything and immer gives us confidence there.
Disable the immutable check, leaving serializable in.
A few weeks back, we changed how the canvas scales in response to changes in window/panel size.
This introduced a bug where if we the user hadn't already clicked the canvas tab once to initialize the stage elements, the stage's dimensions were zero, then the calculation of the stage's scale ends up zero, then something is divided by that zero and Konva dies.
This is only a problem on Chromium browsers - somehow Firefox handles it gracefully.
Now, when calculating the stage scale, never return a 0 - if it's a zero, return 1 instead. This is enough to fix the crash, but the image ends up centered on the top-left corner of the stage (the origin of the canvas).
Because the canvas elements are not initialized at this point (we haven't switched tabs yet), the stage dimensions fall back to (0,0). This means the center of the stage is also (0,0) - so the image is centered on (0,0), the top-left corner of the stage.
To fix this, we need to ensure we:
- Change to the canvas tab before actually setting the image, so the stage elements are able to initialize
- Use `flushSync` to flush DOM updates for this tab change so we actually have DOM elements to work with
- Update the stage dimensions once on first load of it (so in the effect that sets up the resize observer, we update the stage dimensions)
The result now is the expected behaviour - images sent to canvas do not crash and end up in the center of the canvas.
JSX is not serializable, so it cannot be in redux. Non-serializable global state may be put into `nanostores`.
- Use `nanostores` for `customStarUI`
- Use `nanostores` for `headerComponent`
- Re-enable the serializable & immutable check redux middlewares
* Update collections.py
RangeOfSizeInvocation was not taking step into account when generating the end point of the range
* - updated the node description to refelect this mod
- added a gt=0 constraint to ensure only a positive size of the range
- moved the + 1 to be on the size. To ensure the range is the requested size in cases where the step is negative
- formatted with Black
* Removed +1 from the range calculation
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* New classes to support the PromptsFromFileInvocation Class
- PromptPosNegOutput
- PromptSplitNegInvocation
- PromptJoinInvocation
- PromptReplaceInvocation
* - Added PromptsToFileInvocation,
- PromptSplitNegInvocation
- now counts the bracket depth so ensures it cout the numbr of open and close brackets match.
- checks for escaped [ ] so ignores them if escaped e.g \[
- PromptReplaceInvocation - now has a user regex. and no regex in made caseinsesitive
* Update prompt.py
created class PromptsToFileInvocationOutput and use it in PromptsToFileInvocation instead of BaseInvocationOutput
* Update prompt.py
* Added schema_extra title and tags for PromptReplaceInvocation, PromptJoinInvocation, PromptSplitNegInvocation and PromptsToFileInvocation
* Added PTFileds Collect and Expand
* update to nodes v1
* added ui_type to file_path for PromptToFile
* update params for the primitive types used, remove the ui_type filepath, promptsToFile now only accepts collections until a fix is available
* updated the parameters for the StringOutput primitive
* moved the prompt tools nodes out of the prompt.py into prompt_tools.py
* more rework for v1
* added github link
* updated to use "@invocation"
* updated tags
* Adde new nodes PromptStrength and PromptStrengthsCombine
* chore: black
* feat(nodes): add version to prompt nodes
* renamed nodes from prompt related to string related. Also moved them into a strings.py file. Also moved and renamed the PromptsFromFileInvocation from prompt.py to strings.py. The PTfileds still remain in the Prompt_tool.py for now.
* added , version="1.0.0" to the invocations
* removed the PTField related nodes and the prompt-tools.py file all new nodes now live in the
* formatted prompt.py and strings.py with Black and fixed silly mistake in the new StringSplitInvocation
* - Revert Prompt.py back to original
- Update strings.py to be only StringJoin, StringJoinThre, StringReplace, StringSplitNeg, StringSplit
* applied isort to imports
* fix(nodes): typos in `strings.py`
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
This maps values to labels for multiple-choice fields.
This allows "enum" fields (i.e. `Literal["val1", "val2", ...]` fields) to use code-friendly string values for choices, but present this to the UI as human-friendly labels.
* Added crop option to ImagePasteInvocation
ImagePasteInvocation extended the image with transparency when pasting outside of the base image's bounds. This introduces a new option to crop the resulting image back to the original base image.
* Updated version for ImagePasteInvocation as 3.1.1 was released.
We need to parse the config before doing anything related to invocations to ensure that the invocations union picks up on denied nodes.
- Move that to the top of api_app and cli_app
- Wrap subsequent imports in `if True:`, as a hack to satisfy flake8 and not have to noqa every line or the whole file
- Add tests to ensure graph validation fails when using a denied node, and that the invocations union does not have denied nodes (this indirectly provides confidence that the generated OpenAPI schema will not include denied nodes)
This simply hides nodes from the workflow editor. The nodes will still work if an API request is made with them. For example, you could hide `iterate` nodes from the workflow editor, but if the Linear UI makes use of those nodes, they will still function.
- Update `AppConfig` with optional property `nodesDenylist: string[]`
- If provided, nodes are filtered out by `type` in the workflow editor
Allow denying and explicitly allowing nodes. When a not-allowed node is used, a pydantic `ValidationError` will be raised.
- When collecting all invocations, check against the allowlist and denylist first. When pydantic constructs any unions related to nodes, the denied nodes will be omitted
- Add `allow_nodes` and `deny_nodes` to `InvokeAIAppConfig`. These are `Union[list[str], None]`, and may be populated with the `type` of invocations.
- When `allow_nodes` is `None`, allow all nodes, else if it is `list[str]`, only allow nodes in the list
- When `deny_nodes` is `None`, deny no nodes, else if it is `list[str]`, deny nodes in the list
- `deny_nodes` overrides `allow_nodes`
* Consolidated saturation/luminosity adjust.
Now allows increasing and inverting.
Accepts any color PIL format and channel designation.
* Updated docs/nodes/defaultNodes.md
* shortened tags list to channel types only
* fix typo in mode list
* split features into offset and multiply nodes
* Updated documentation
* Change invert to discrete boolean.
Previous math was unclear and had issues with 0 values.
* chore: black
* chore(ui): typegen
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
- Node versions are now added to node templates
- Node data (including in workflows) include the version of the node
- On loading a workflow, we check to see if the node and template versions match exactly. If not, a warning is logged to console.
- The node info icon (top-right corner of node, which you may click to open the notes editor) now shows the version and mentions any issues.
- Some workflow validation logic has been shifted around and is now executed in a redux listener.
The `@invocation` decorator is extended with an optional `version` arg. On execution of the decorator, the version string is parsed using the `semver` package (this was an indirect dependency and has been added to `pyproject.toml`).
All built-in nodes are set with `version="1.0.0"`.
The version is added to the OpenAPI Schema for consumption by the client.
Initial support for polymorphic field types. Polymorphic types are a single of or list of a specific type. For example, `Union[str, list[str]]`.
Polymorphics do not yet have support for direct input in the UI (will come in the future). They will be forcibly set as Connection-only fields, in which case users will not be able to provide direct input to the field.
If a polymorphic should present as a singleton type - which would allow direct input - the node must provide an explicit type hint.
For example, `DenoiseLatents`' `CFG Scale` is polymorphic, but in the node editor, we want to present this as a number input. In the node definition, the field is given `ui_type=UIType.Float`, which tells the UI to treat this as a `float` field.
The connection validation logic will prevent connecting a collection to `CFG Scale` in this situation, because it is typed as `float`. The workaround is to disable validation from the settings to make this specific connection. A future improvement will resolve this.
This also introduces better support for collection field types. Like polymorphics, collection types are parsed automatically by the client and do not need any specific type hints.
Also like polymorphics, there is no support yet for direct input of collection types in the UI.
- Disabling validation in workflow editor now displays the visual hints for valid connections, but lets you connect to anything.
- Added `ui_order: int` to `InputField` and `OutputField`. The UI will use this, if present, to order fields in a node UI. See usage in `DenoiseLatents` for an example.
- Updated the field colors - duplicate colors have just been lightened a bit. It's not perfect but it was a quick fix.
- Field handles for collections are the same color as their single counterparts, but have a dark dot in the center of them.
- Field handles for polymorphics are a rounded square with dot in the middle.
- Removed all fields that just render `null` from `InputFieldRenderer`, replaced with a single fallback
- Removed logic in `zValidatedWorkflow`, which checked for existence of node templates for each node in a workflow. This logic introduced a circular dependency, due to importing the global redux `store` in order to get the node templates within a zod schema. It's actually fine to just leave this out entirely; The case of a missing node template is handled by the UI. Fixing it otherwise would introduce a substantial headache.
- Fixed the `ControlNetInvocation.control_model` field default, which was a string when it shouldn't have one.
* add StableDiffusionXLInpaintPipeline to probe list
* add StableDiffusionXLInpaintPipeline to probe list
* Blackified (?)
---------
Authored-by: Lincoln Stein <lstein@gmail.com>
Mucked about with to get it merged by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Add a click handler for node wrapper component that exclusively selects that node, IF no other modifier keys are held.
Technically I believe this means we are doubling up on the selection logic, as reactflow handles this internally also. But this is by far the most reliable way to fix the UX.
Copied into InvokeAI since IP-Adapter repo is not a package. Is there a better way to do this for non-packaged Python code while still keeping InvokeAI install easy?
All invocation metadata (type, title, tags and category) are now defined in decorators.
The decorators add the `type: Literal["invocation_type"]: "invocation_type"` field to the invocation.
Category is a new invocation metadata, but it is not used by the frontend just yet.
- `@invocation()` decorator for invocations
```py
@invocation(
"sdxl_compel_prompt",
title="SDXL Prompt",
tags=["sdxl", "compel", "prompt"],
category="conditioning",
)
class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
...
```
- `@invocation_output()` decorator for invocation outputs
```py
@invocation_output("clip_skip_output")
class ClipSkipInvocationOutput(BaseInvocationOutput):
...
```
- update invocation docs
- add category to decorator
- regen frontend types
Adds loading workflows with exhaustive validation via `zod`.
There is a load button but no dedicated save/load UI yet. Also need to add versioning to the workflow format itself.
It is `"invocation"` for invocations and `"output"` for outputs. Clients may use this to confidently and positively identify if an OpenAPI schema object is an invocation or output, instead of using a potentially fragile heuristic.
Doing this via `BaseInvocation`'s `Config.schema_extra()` means all clients get an accurate OpenAPI schema.
Shifts the responsibility of correct types to the backend, where previously it was on the client.
Doing this via these classes' `Config.schema_extra()` method makes it unintrusive and clients will get the correct types for these properties.
Shifts the responsibility of correct types to the backend, where previously it was on the client.
The `type` property is required on all of them, but because this is defined in pydantic as a Literal, it is not required in the OpenAPI schema. Easier to fix this by changing the generated types than fiddling around with pydantic.
- move docstrings to ABC
- `start_time: int` -> `start_time: float`
- remove class attribute assignments in `StatsContext`
- add `update_mem_stats()` to ABC
- add class attributes to ABC, because they are referenced in instances of the class. if they should not be on the ABC, then maybe there needs to be some restructuring
When retrieving a graph, it is parsed through pydantic. It is possible that this graph is invalid, and an error is thrown.
Handle this by deleting the failed graph from the stats if this occurs.
Previously if an image was used in nodes and you deleted it, it would reset all of node editor. Same for controlnet.
Now it only resets the specific nodes or controlnets that used that image.
Add "nodrag", "nowheel" and "nopan" class names in interactable elements, as neeeded. This fixes the mouse interactions and also makes the node draggable from anywhere without needing shift.
Also fixes ctrl/cmd multi-select to support deselecting.
- move docstrings to ABC
- `start_time: int` -> `start_time: float`
- remove class attribute assignments in `StatsContext`
- add `update_mem_stats()` to ABC
- add class attributes to ABC, because they are referenced in instances of the class. if they should not be on the ABC, then maybe there needs to be some restructuring
When retrieving a graph, it is parsed through pydantic. It is possible that this graph is invalid, and an error is thrown.
Handle this by deleting the failed graph from the stats if this occurs.
Previously the editor was using prop-drilling node data and templates to get values deep into nodes. This ended up causing very noticeable performance degradation. For example, any text entry fields were super laggy.
Refactor the whole thing to use memoized selectors via hooks. The hooks are mostly very narrow, returning only the data needed.
Data objects are never passed down, only node id and field name - sometimes the field kind ('input' or 'output').
The end result is a *much* smoother node editor with very minimal rerenders.
There is a tricky mouse event interaction between chakra's `useOutsideClick()` hook (used by chakra `<Menu />`) and reactflow. The hook doesn't work when you click the main reactflow area.
To get around this, I've used a dirty hack, copy-pasting the simple context menu component we use, and extending it slightly to respond to a global `contextMenusClosed` redux action.
- also implement pessimistic updates for starring, only changing the images that were successfully updated by backend
- some autoformat changes crept in
If `reactflow` initializes before the node templates are parsed, edges may not be rendered and the viewport may get reset.
- Add `isReady` state to `NodesState`. This is false when we are loading or parsing node templates and true when that is finished.
- Conditionally render `reactflow` based on `isReady`.
- Add `viewport` to `NodesState` & handlers to keep it synced. This allows `reactflow` to mount and unmount freely and not lose viewport.
Refine concept of "parameter" nodes to "primitives":
- integer
- float
- string
- boolean
- image
- latents
- conditioning
- color
Each primitive has:
- A field definition, if it is not already python primitive value. The field is how this primitive value is passed between nodes. Collections are lists of the field in node definitions. ex: `ImageField` & `list[ImageField]`
- A single output class. ex: `ImageOutput`
- A collection output class. ex: `ImageCollectionOutput`
- A node, which functions to load or pass on the primitive value. ex: `ImageInvocation` (in this case, `ImageInvocation` replaces `LoadImage`)
Plus a number of related changes:
- Reorganize these into `primitives.py`
- Update all nodes and logic to use primitives
- Consolidate "prompt" outputs into "string" & "mask" into "image" (there's no reason for these to be different, the function identically)
- Update default graphs & tests
- Regen frontend types & minor frontend tidy related to changes
This is probably better done on the backend or in a different way. This can cause steps to go above 1000 which is more than the set number for the model.
This fixes an import issue introduced in commit 1bfe983.
The change made 'invokeai_configure' into a module but this line still tries to call it as if it's a function. This will result in a `'module' not callable` error.
Seam options are now removed. They are replaced by two options --Mask Blur and Mask Blur Method .. which control the softness of the mask that is being painted.
There was no check at all to see if the canvas had a valid model already selected. The first model in the list was selected every time.
Now, we check if its valid. If not, we go through the logic to try and pick the first valid model.
If there are no valid models, or there was a problem listing models, the model selection is cleared.
* Fix hue adjustment
Hue adjustment wasn't working correctly because color channels got swapped. This has now been fixed and we're using PIL rather than cv2 to do the RGBA->HSV->RGBA conversion. The range of hue adjustment is also the more typical 0..360 degrees.
orphaned since #3550 removed the LazilyLoadedModelGroup code, probably unused since ModelCache took over responsibility for sequential offload somewhere around #3335.
ApiDependencies.invoker` provides typing for the API's services layer. Marking it `Optional` results in all the routes seeing it as optional, which is not good.
Instead of marking it optional to satisfy the initial assignment to `None`, we can just skip the initial assignment. This preserves the IDE hinting in API layer and is types-legal.
multi-select actions include:
- drag to board to move all to that board
- right click to add all to board or delete all
backend changes:
- add routes for changing board for list of image names, deleting list of images
- change image-specific routes to `images/i/{image_name}` to not clobber other routes (like `images/upload`, `images/delete`)
- subclass pydantic `BaseModel` as `BaseModelExcludeNull`, which excludes null values when calling `dict()` on the model. this fixes inconsistent types related to JSON parsing null values into `null` instead of `undefined`
- remove `board_id` from `remove_image_from_board`
frontend changes:
- multi-selection stuff uses `ImageDTO[]` as payloads, for dnd and other mutations. this gives us access to image `board_id`s when hitting routes, and enables efficient cache updates.
- consolidate change board and delete image modals to handle single and multiples
- board totals are now re-fetched on mutation and not kept in sync manually - was way too tedious to do this
- fixed warning about nested `<p>` elements
- closes#4088 , need to handle case when `autoAddBoardId` is `"none"`
- add option to show gallery image delete button on every gallery image
frontend refactors/organisation:
- make typegen script js instead of ts
- enable `noUncheckedIndexedAccess` to help avoid bugs when indexing into arrays, many small changes needed to satisfy TS after this
- move all image-related endpoints into `endpoints/images.ts`, its a big file now, but this fixes a number of circular dependency issues that were otherwise felt impossible to resolve
- Create abstract base class InvocationStatsServiceBase
- Store InvocationStatsService in the InvocationServices object
- Collect and report stats on simultaneous graph execution
independently for each graph id
- Track VRAM usage for each node
- Handle cancellations and other exceptions gracefully
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because: minor fix, let me know your thoughts
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No
## Description
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Related Issue # https://github.com/invoke-ai/InvokeAI/issues/4017
- Closes #
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## Added/updated tests?
- [ ] Yes
- [x] No : Requires mps device
## [optional] Are there any post deployment tasks we need to perform?
Please test on an MPS (M1/M2) device.
Relevant code causing the error in #401701b6ec21fa/src/diffusers/schedulers/scheduling_euler_discrete.py (L263C3-L268C75)
```
self.sigmas = torch.from_numpy(sigmas).to(device=device)
if str(device).startswith("mps"):
# mps does not support float64
self.timesteps = torch.from_numpy(timesteps).to(device, dtype=torch.float32)
else:
self.timesteps = torch.from_numpy(timesteps).to(device=device)
```
- make the `SDXLConcatLink` icon match existing colors in light mode
- make the link toggle button accent color when active (its not super obvious but at least there is *some* visual difference for the button)
* add upper bound for minWidth to prevent crash with cypress
* add fallback so UI doesnt crash when backend isnt running
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [X ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [X ] No, because they trust me
## Have you updated all relevant documentation?
- [ X] Yes
- [ ] No
## Description
* Added the RAIL++ license for SDXL
* Updated configure script with URLs for both the original RAIL-M and
RAIL++ licenses
* Added invisible watermark documentation and renamed doc file
* Updated documentation for installation
* Updated documentation on settings in invokeai.yaml
